Operations engineer jobs in Virginia - 3,031 jobs

We are seeking 2 Mechanical Engineers to drive the mechanical integration of advanced sensor systems onto a 4 seat, rugged vehicle. This role involves designing mounting solutions for all components, optimizing space for mission equipment, and ensuring ruggedness and operational reliability under demanding conditions. Key Responsibilities - Lead mechanical design efforts for the project, ensuring all components are properly integrated onto the vehicle platform. - Select mechanical mounting points for all components on the vehicle, considering: Human factors and operator ergonomics, Maximizing available payload bed space for mission gear (e.g., rucksacks), and Optional mission equipment rack occupying the rear seating area. - Collaborate with Prime to incorporate RF interference considerations into mounting location design. - Design mechanical mounting brackets or apparatus for all components, ensuring: Components remain below the highest point of the stock vehicle design during transport and RF sensor mast and other components can optionally elevate above the roll cage post-deployment (variable geometry). - Integrate cable routing into the design with emphasis on: Ruggedness and resistance to damage during aggressive vehicle operation and Secure and protected cable runs for long-term durability. Skills solidworks, ruggedized, military, Mounting, vehicle, MHZR, human factors Top Skills Details solidworks,ruggedized,military,Mounting Additional Skills & Qualifications Required Qualifications - Bachelor's degree in Mechanical Engineering or related field (or equivalent experience). - Proven experience in mechanical design for ruggedized or military platforms. - Expertise in CAD tools (ideally Solidworks) and mechanical integration for complex systems. - Strong understanding of human factors and space optimization in vehicle design. - Eligible for US DoD Clearance Preferred Qualifications - Experience with Polaris MRZR or similar tactical vehicles. - Familiarity with RF interference considerations in mechanical design. - Knowledge of coatings and finishes for military-grade durability. Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Sterling, VA. Pay and Benefits The pay range for this position is $85.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Sterling,VA. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

BE EMPOWERED TO SUCCEED Connect with others in our people‑first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission‑oriented machine learning solutions must be architected, designed, and built to handle fast‑moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production‑grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production‑grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service‑based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client‑facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem‑solving, and organizational skills TS / SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting‑edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World . If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. #J-18808-Ljbffr

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our AI & Data Exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk, you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Contributions We are looking for a seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs. Analyze and process large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Implement and maintain data pipelines to support machine learning workflows. Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. Document processes, experiments, and results to ensure reproducibility and knowledge sharing. Deploy machine learning models to production environments and monitor their performance. Stay updated with the latest research and trends in AI to implement cutting-edge solutions. Support an Agile software development lifecycle. You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Master's degree and 3 years of relevant experience; OR Bachelor's degree and 5 years of relevant experience; OR No degree and 9 years of relevant experience. Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained. Ability to hold a position of public trust with the US government. 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in languages such as Python. Solid understanding of statistical methods, data structures, and algorithms. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with big data technologies like Spark. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. Ability to manage multiple tasks and projects simultaneously while meeting deadlines. About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit ************************* We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy****About the Role** As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a **Generative AI and Machine Learning Engineer**, you will:* Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.* Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.* Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.* Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.* Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.**About you** You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:* Master's or Bachelor's in a relevant discipline. Relevant experience will be considered in lieu of a degree* Proficiency in Python* At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.* Solid software engineering skills and experience* Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders* Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms* Ability to obtain and maintain a U.S. national security clearance* U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements**The following skills and tools are preferred, but not required*** 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry* Experience with AI Agent frameworks and patterns* Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling* Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)* Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spa Cy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV* Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications* Experience in a fast-paced, agile environment managing uncertainty and ambiguity.* Proficiency in Python and experience delivering minimum viable products in a large enterprise environment* Experience developing libraries and APIs for others to use* Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders* Diverse experiences across problem spaces, companies and cultures#LI-CS1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection #J-18808-Ljbffr

* Bachelor's degree* At least 10 years of experience designing and building data-intensive solutions using distributed computing* At least 6 years of experience programming in C, C++, Python, or Scala* At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting* Master's Degree* 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models* 2+ years of experience using Dask, RAPIDS, or in High Performance Computing* 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)* Ability to communicate complex technical concepts clearly to a variety of audiences* ML industry impact through conference presentations, papers, blog posts, or open source contributions* Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

The Senior Project Construction Engineer will oversee and manage the engineering aspects of construction projects, ensuring projects are completed safely, on schedule, and within budget. This role works closely with project managers, superintendents, subcontractors, and design teams to provide technical guidance, solve complex construction challenges, and maintain high standards of quality. Key Responsibilities: Lead engineering and technical aspects of construction projects from pre-construction through closeout. Review plans, specifications, and contract documents for constructability and compliance. Collaborate with project managers and superintendents to ensure proper sequencing and resource allocation. Provide technical support and problem-solving for field teams. Monitor project progress and prepare reports on engineering issues, schedule impacts, and cost considerations. Ensure compliance with safety standards, building codes, and regulatory requirements. Mentor junior engineers and support professional development within the team. Qualifications: Bachelor's degree in Civil Engineering, Construction Engineering, or related field. Professional Engineer (PE) license preferred. Minimum 5-8 years of construction engineering experience, preferably in commercial or infrastructure projects. Strong knowledge of construction methods, materials, and engineering principles. Proficiency in construction management software and Microsoft Office Suite. Excellent communication, problem-solving, and leadership skills.

Our family-owned company operates two small hotel adjacent to UVA as well as a graduates-only apartment building. There are eight buildings in total. Role Description The Head Engineer will oversee the maintenance and operation of the properties' facilities, including HVAC, plumbing, electrical systems, and grounds, and pool. Daily responsibilities include conducting routine inspections, troubleshooting and resolving technical issues promptly, managing preventive maintenance schedules, and supervising a maintenance team. Role includes collaborating with external vendors, and ensuring compliance with safety regulations to uphold the highest standards of guest and employee comfort. Qualifications Basic troubleshooting and preventive maintenance of HVAC, electrical systems, and general building systems. Experience in team management, training, and coordinating across departments Strong problem-solving, analytical, and project management skills Knowledge of safety regulations, building codes, and preventative maintenance strategies Proficiency with relevant technical tools and maintenance software Excellent communication skills and ability to work collaboratively with hotel staff Prior experience in hospitality engineering or property management is a plus Compensation •We aim to be competitive in Charlottesville and offer a salary, lexible schedule, PTO, and insurance benefits

The Cognitive and Generative-AI Engineering team, part of the Enterprise Data and Information Management (EDIM) department, is responsible for developing and implementing AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union. This is a pivotal role in the AI Center for Enablement, leading the design and implementation of cutting-edge AI systems. This role leverages and adapts state-of-the-art large language models (LLMs) to solve complex business problems and identifies opportunities to build modular and reusable components. The incumbent will collaborate with ETS (Enterprise Technology Services) and Business partners including Enterprise Architecture, Enterprise AI Strategy, and the AI Working Group to build and drive solutions. They will provide delivery and ongoing support for NFCU's data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the successful implementation of AI initiatives across the organization. Successful candidates will exhibit excellent problem-solving skills, effective communication and analytical skills, as well as strong leadership qualities. Responsibilities As a key member of the AI Center for Enablement (C4E), provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. Develop AI standards and best practices and establish processes for curating and registering AI models into Model Garden, ensuring compliance with regulatory and security standards throughout the model lifecycle. Define, publish and socialize technology roadmaps for AI/ML enabled capabilities supporting business use cases and outcomes. Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities. Lead and support enterprise developer productivity initiatives by leveraging AI-assisted coding assistants and creating chatbots for IT to drive efficiencies, navigating a complex environment with various tools and programming languages, and ensuring adoption and productivity gains across the organization. Design, develop and deploy AI Engineering solutions with a focus on enabling AI governance, incorporating automated ground truth validation processes, toxicity filters, and transparency measures. Curate, process and augment high-quality multimodal data while integrating RAG for robust model grounding and improved accuracy. Develop AI chatbots or agents by adapting task-oriented LLM models fine-tuned to meet NFCU-specific domains and evaluate model outcomes to ensure accuracy, reduce significant hallucinations, and assure compliance. Partner with business stakeholders to evaluate commercial AI solutions against custom-built options and deliver data-driven Build vs. Buy recommendations that balance technical capabilities, costs, reusability, and strategic business outcomes. Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes. Build core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and NLP/Chatbot interface construction. Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience with building and configuring a foundational GenAI platform including Model Garden, LLM model curation, prompt engineering, and setting up operational Governance controls. Experience with creating and publishing AI Standards, Best Practices, Architecture is required. Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization with clear value metrics. Hands-on experience building production grade AI agents using industry leading platforms (Azure AI Foundry, etc.). Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management. Hands-on experience leveraging advanced techniques including Retrieval Augmented Generation to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI Chatbots. Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems. Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs. Strong leadership capabilities with experience collaborating with cross functional teams and leading, and engaging teams. Working knowledge of Scaled Agile delivery approaches, Azure DevOps, and general CI/CD concepts. Strong communication and presentation skills to explain designs and solutions to business and technical stakeholders. Solid experience with Python and SQL required. Desired Qualifications Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. 7 years of experience in advanced AI/ML technologies. Experience working in an AI Center for Enablement. Experience with AI Governance and LLM Security methods. Experience with AIOps, Cost Scaling and model performance tuning. Knowledge of Navy Federal Credit Union instructions, standards, and procedures. Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* Fortune 100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Job ID 2025-0034 # Positions 1 Experience (Years) 3 Category Engineering & Air Safety - Staff Engineer External Description Aviation Safety Staff Engineer (Design, Certification, MMEL and Operations) The Air Line Pilots Association, International (ALPA), the largest airline pilot union in the world and the largest non-governmental aviation safety organization in the world (representing over 80,000 pilots at 42 U.S. and Canadian airlines) seeks an experienced Staff Engineer for our Tysons (McLean), Virginia office. The Staff Engineer provides staff coordination and liaison with government, industry, and professional stakeholders on behalf of the Air Safety Organization and other Association committees, MECs, and National Officers, as assigned by the department Director or Manager. Their specific focus is in the policy areas of Part 25 aircraft design/certification, as well as Part 121 continuing airworthiness, operations specifications, and aircraft maintenance, including master minimum equipment list (MMEL) policies and procedures. They provide coordination and technical support to the Air Safety Organization, accident and incident investigations, Federal Aviation Administration (FAA) and Transport Canada (TC) pilot certificate enforcement action cases, and other safety investigations in the areas of aircraft design, manufacturing, and continuing airworthiness/maintenance. The Staff Engineer effectively represents the Association and the department, interacting with government and industry safety officials on a routine basis, advocating on behalf of the Association's priorities from a policy perspective. They are also routinely tasked to use their engineering training and experience to analyze Airworthiness Directives, Petitions for Exemption, and Special Conditions to develop recommended action by the association. In coordination with relevant committees and staff members, they develop and coordinate written communications to membership, government, and industry groups outlining ALPA positions on a wide variety of operational safety issues. While this position requires engineering expertise, it is a policy position. The staff engineer will be routinely asked to translate engineering information into summaries for department management and leadership. Local, national, and international travel: up to 25%. ALPA is an equal opportunity employer that is committed to diversity and inclusion in a safe workplace. We prohibit discrimination, harassment and harmful behavior of any kind based on race, color, sex, religion, sexual orientation, national origin, gender identity, caste, disability, genetic information, pregnancy, or other protected characteristics as outlined in federal or provincial laws. We highly value everyone and all are encouraged to apply, including minorities, veterans, and people with disabilities. This position is covered by a collective bargaining agreement. ALPA is a member-driven, staff supported, union with two internal professional unions. Minimum Requirements: Bachelor's degree in relevant area, e.g., Aerospace or Aeronautical Engineering or other related engineering discipline, from an accredited college or university required. Three (3) years of related experience in the civilian aviation industry, five (5) or more strongly preferred. Experience in U.S. and/or Canadian Aviation Regulations (FARs and CARs), national and international aviation standards, and aircraft design standards required. Familiarization with and participation in policy activities that include the Aviation Rulemaking Advisory Committee (ARAC), the Canadian Aviation Regulation Advisory Council (CARAC), and Aviation Rulemaking Committee (ARC) processes is strongly preferred. A pilot's license with an instrument rating and/or special knowledge or applicable expertise in the aviation industry preferred. Other aviation industry experience may be substituted for the pilot's license. Experience in Part 25 airplane design/certification and/or Part 121 operations and continuing airworthiness, as well as airplane maintenance, is required. FAA Airframe and Powerplant certification (A&P license) and/or equivalent experience with maintenance and/or large aircraft manufacturing preferred. Experience with NTSB and/or TSB accident investigation processes preferred. Strong technical writing skills are required, and public speaking skills beneficial. Excellent interpersonal and communication skills, oral and written, for effective interaction with all levels of contacts, internal and external. Ability to collaboratively work in multi-disciplined team Must be a self-starter with professional maturity and sound judgment, capable of independent decision-making and to be proactive in identifying and responding to issues and problems. Must possess exceptional time management skills; be able to work in a fast-paced, multi-tasking environment; and transition easily between projects. Software: Microsoft Word, Outlook, Excel, and PowerPoint. Physical Demands: Note: The physical demands described herein are characteristic of those that must be met to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals to perform the essential physical activities of this position described below. Constantly operates a computer/smartphone/tablet. Regularly required to maintain a stationary position, move about the office and the local metropolitan area, determine what others have said or written, and converse with others and exchange accurate information. Regularly required to sit, stand, bend, reach, and move about the office and travel (locally, nationally, and internationally). Also includes occasional bending, stooping, squatting, and/or pushing and pulling or moving, e.g., to pack, unpack, and/or move cases. Occasionally required to move, raise, reach, and/or retrieve binders, books, boxes, and files up to ten (10) pounds (lbs.). While on travel, could be responsible to move luggage weighing as much as 50 lbs. (Assistance may not always be available.) ALPA offers competitive salaries with terrific benefits, including: 401k Plan with Non-Elective Employer Contribution of 12% plus 2% into a Market-Based Cash Balance Plan after 180 days of employment. No employee contribution required! The 401k plan includes a Roth option and 4-year vesting schedule. Generous health care benefits on day one - PPO, Kaiser (where available), and a High Deductible Health Plan which includes coverage for medical, dental, and vision benefits for employee, spouse, and/or dependent children; 15 days paid vacation and 13 holidays per year plus 2 volunteer days per year; Generous sick and bereavement leave; Competitive parental leave; Company-paid premiums for disability and life insurance; Flexible Spending and Health Savings accounts; Retiree health plan; Education Assistance Program; and, Optional benefits including pet insurance, excess life insurance, legal plan, and qualified transportation fringe benefits, where available. Partial remote work opportunities. PROJECTED ANNUAL SALARY RANGE: $ 96,027.00 - $ 137,179.00 Relocation not provided. Sponsorship not available for this position. PM19

We have a client in Reston, VA, seeking a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing their Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. What You'll Do: Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct-Hire, Contract-to-Hire, and Contract roles, plus internal full-time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job.

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems. Responsibilities: • Prototype and optimize algorithms in computer vision and machine learning. • Build scalable training and inference pipelines on cloud platforms (AWS EKS). • Perform data curation, model evaluation, and system integration. • Collaborate with academic and government research partners. Requirements: • BS or MS in Computer Science, Engineering, Applied Math, or related field. • Experience with PyTorch or TensorFlow and scalable model training. • Strong background in algorithms and software design. • Excellent communication and technical writing skills. • U.S. Citizen or Permanent Resident. Preferred: • Experience with geospatial data (PostGIS, GeoJSON, QGIS). • Familiarity with Kubernetes and distributed data systems. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

The senior mechanical engineering role requires a high aptitude for industrial machine design along with strong leadership and organizational skills. The lead mechanical engineer is assigned the most complex customer projects, along with mentoring junior engineers. The lead position oversees the work of the rest of the mechanical engineering department, ensuring that best practices and SOPs are followed. This position reports to the Director of Engineering and may be tasked with planning and assigning projects to the mechanical engineering team. The Engineering department at American Hofmann Corporation is a small, diverse & multidisciplinary team that works together on industrial balancing projects with frequent interaction internally as well as between sales, production, testing and service departments. The lead engineer must effectively communicate technical details between these departments Responsibilities Design industrial balancing machines, tooling and associated equipment in accordance with industry regulations, international codes, and customer requirements. Develop design models, assemblies, and detail drawings in SolidEdge. Generate accurate BOMs in Industrios (ERP system) Document work thoroughly, follow SOPs & perform appropriate design engineering calculations Prevent mistakes and take corrective action to meet the Quality Management System (ISO 9001) Conduct internal & external (customer) design reviews & technical discussions Assist internal departments (Procurement, Production, Sales, Service, Tech writing). May be required to occasionally visit customer sites ( Each employee is expected to comply with safety, and health regulations and attend training as required Skills Understand Rotational Unbalance and the methods of measurement and correction in manufacturing Engineering computer skills (Excel functions & Macros, Word, CAD PDM, ERP systems) Excellent intrapersonal communication skills Ability to multitask and prioritize work through organizational skills Knowledge of automated systems, Inputs & Outputs & familiarity with control logic Familiarity with material specifications (ANSI) and GD&T Selection and sizing of electromechanical devices (motors, switches, actuators, etc.) Requirements Bachelor's of Mechanical Engineering Degree from an ABET accredited institution 10 years Mechanical Engineering experience preferred Minimum five years machine design experience Expert user of 3D CAD software (SolidEdge is a plus) Exposure to manufacturing environments History of previous leadership or mentorship roles

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no previously known solutions, EXP is the place to be! Currently, we are seeking an experienced Deep Learning and Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intelligence Community. We're looking for someone who has an in-depth understanding of DL architectures such as YOLOv8, Faster R-CNN, DETR, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating datasets, building, training, and evaluating models, to productizing final deliverables. As a DL Software Engineer, you will develop ML orchestration pipelines for novel Geospatial Object Detection problems, apply Sim-to-Real ML dataset techniques, design and implement custom algorithms and evaluation metrics, as well as produce technical reports. We're looking for someone who has experience in developing robust deep learning models against different types of ML-driven adversarial attacks. The candidate should feel comfortable developing novel methods and algorithms, applicable to electro-optical (EO) imagery, for the detection, explanation, and mitigation of a wide range adversarial attacks on overhead detection models that operate in close to real-time. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building new deep learning algorithms from scratch, and working in a fast paced but scientifically rigorous environment, we want to hear from you! Responsibilities include: Researching academic literature to keep abreast of the latest theories, techniques, and tools Working in a team to develop deep learning architectures and models for novel applications Implementing solutions in Python (PyTorch) Delivering high-quality, carefully tested software Participate in team brainstorming sessions to shape innovative solutions Required Skills and Experience: US Citizenship - must have an ACTIVE Top Secret / SCI Clearance An active Top Secret/SCI security clearance MS and 3+ years of experience or BS and 5+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision and object detection Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment Experience using collaborative source code management tools (Git) Strong technical presentation and writing skills Strong software development skills to include object-oriented design and implementation in languages like Python Strong practical experience developing in both object oriented and procedural languages Experience with standard data structures, algorithms, and application organization Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies Experience with software testing (unit, integration, functional, etc.) Exposure to software containerization with Docker, Linux, and cloud development Clearance Required: Top Secret/SCI Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day. Interested in joining our team? Let's explore together. To learn more about EXP and discover why we are an award-winning workplace, visit ourweb siteand follow us on LinkedIn. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs.Here's a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid medical, dental, and vision insurance Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing. Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster. Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth. Referral Bonus Program: Earn rewards for bringing talented individuals into our team. Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life. Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards. Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.

Company - Our client is a leading cybersecurity services provider, trusted by some of the most recognized brands in the U.S. They partner closely with Fortune 500 enterprises to deliver cutting-edge identity, cloud, and security solutions. Known for their technical excellence and white-glove client service, they are consistently recognized as one of the top MSSPs in North America. Job Title - Senior Identity (Ping) Engineer Location - Tysons, Virginia (Hybrid - onsite 3 days per week) Role Type - 6-Month Contract (1,040 hours) Must Have Skills: 7+ years of Identity & Access Management (IAM) engineering and architecture experience 5+ years of hands-on experience with the full Ping Identity suite across enterprise and/or CIAM use cases Deep expertise with PingFederate, PingID, Ping Directory, and PingOne (Enterprise + Customer) Proven experience designing and implementing modern passwordless authentication (FIDO2/WebAuthn/Passkeys) at enterprise scale Expert-level understanding of IAM protocols (SAML, OAuth 2.0, OIDC, SCIM, LDAP) and demonstrated ability to lead large-scale Ping deployments Responsibilities and Job Details: Serve as the Ping Identity SME and platform owner across a large financial services enterprise Architect, design, deploy, and scale Ping Identity solutions for both workforce SSO and CIAM use cases Perform hands-on configuration across the Ping suite supporting on-prem, private cloud, and SaaS (PingOne) architectures Design and implement identity workflows using PingOne DaVinci or similar orchestration tools Lead enterprise-wide rollout of passwordless authentication (FIDO2/WebAuthn/Passkeys) Provide advanced troubleshooting and root cause analysis across Ping environments Drive integration with Azure Identity (Entra ID) and other IdP/IdM technologies Manage multiple concurrent IAM projects, meeting key milestones and delivering required documentation Communicate effectively with technical and executive stakeholders Scripting skills in Python, PowerShell, or Groovy are highly desired for automation Candidate must commit exclusively to this contract for its duration

Job ID 2025-13466 # of Openings 2 Category Engineering Benefit Type Salaried High Fringe/Full-Time LMI seeks an experienced technical individual versed in federal facilities projects to provide real property focused support to a federal facilities and infrastructure portfolio management program. Join our team of collaborative self-starters focused on delivering practical and efficient solutions to help U.S. Department of Homeland Security (DHS) keep our nation safe while supporting the facilitation of legitimate trade and travel. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. LMI has been named a 2024 #BestPlacestoWork in the United States by Built In! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible! Responsibilities Support a federal agency's technical division and act as a subject matter expert for technical matters associated with the agency's real property portfolio that includes facilities and supporting infrastructure. Utilize subject matter expertise to deliver solutions to engineering requirements for DHS projects to include both new construction and maintenance and repair of existing real property. Communicate with senior leadership; engineering subject matter experts (SMEs), project managers and facility managers about issues and solutions regarding project requirements. Perform quality assurance reviews of design documents and engineering studies and provide associated technical recommendations. Review project progress from an engineering perspective, measuring performance and proposing necessary corrective actions to maintain agreed-upon requirements. Travel to project sites at geographically dispersed locations nationwide as required to verify progress of work, ensure conformity with specifications and accepted engineering practices, attend program management reviews and contribute to technical Integrated Project Teams Provide engineering inputs to cost estimates; utilize value engineering analysis as needed. Assist with all aspects of facility development, including planning, programming, design and construction phases. Provide input on appropriate standards, and guidelines, as well as interpretation and compliance for building code and regulations. Collaborate with other personnel including other architects, engineers, project managers, facility managers, planning and budget staff. Oversee the implementation and execution of engineering projects as needed. Work with service providers including the U.S. Army Corps of Engineers (USACE), the U.S. General Services Administration (GSA), and other outside contractors to ensure acceptable delivery of project services. Qualifications 8+ years of relevant experience and a Bachelor's degree in engineering or similar technical field. Project Management Professional (PMP) certification, Certified Construction Manager (CCM), or other industry-related certification is a plus. Familiarity with the federal budget cycle, federal procurement practices, and the delivery of capital programs in the federal space Proficiency in Microsoft Word, Excel, Outlook, PowerPoint, and SharePoint. Ability to read construction documents, including drawings, specifications and RFPs Ability to communicate clearly with a variety of stakeholders. Ability to effectively solve problems. Strong communication skills, both oral and written. Available for approximately 10% travel. Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications; active U.S. Customs and Border Protection background investigation (CBP BI) preferred. Please note that only U.S. citizens are eligible for a suitability determination. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires 75% regional travel on a yearly basis. When not traveling, you must have availability to work from a corporate office. Candidates should either live near or be willing to relocate within a reasonable commuting distance of one of the corporate office locations listed. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 75% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing one or multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing and approving Sorter System Functional specification document is one of the essential tasks, and you may be tracking the on-time creation of the sorter configurations with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing, you may be performing systems installation quality, safety, throughput, and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. Global Engineering Services (GES) North America (NA) Operations Engineering, or Ops Eng, works across North America to deliver Material Handling System launches, retrofits, and innovations. A day in the life can take place on a jobsite, in an active facility, or in one of Amazon's corporate offices. GES NA Ops Eng is highly team-oriented, working daily be smarter together, be faster together, and to grow together. About the team The OE Execution Team is responsible for delivery of Automation Infrastructure projects related to material handling, storage, processing, and delivery of products to retrofits and newbuilds throughout First and Middle Miles across all regions within North America. At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow, and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications - Bachelor's degree in industrial or manufacturing engineering - 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience - Experience Experience working with Material handling equipment (MHE) - Knowledge of automated material handling systems, packaging technologies and storage solutions - Knowledge of AutoCAD, VBA, and SQL at the intermediate level Preferred Qualifications - Master's degree in engineering, management, or technology - Experience working with and managing third party vendors - Experience with Six Sigma, lean manufacturing - Knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, and MS Project) at an advanced level Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, San Francisco - 84,300.00 - 126,400.00 USD annually USA, MA, Boston - 76,600.00 - 114,900.00 USD annually USA, NY, New York - 84,300.00 - 126,400.00 USD annually USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually USA, TX, Austin - 76,600.00 - 114,900.00 USD annually USA, TX, Houston - 76,600.00 - 114,900.00 USD annually USA, TX, Irving - 76,600.00 - 114,900.00 USD annually USA, VA, Arlington - 76,600.00 - 114,900.00 USD annually USA, WA, Bellevue - 82,700.00 - 114,900.00 USD annually

Cyber Machine Learning Engineer Key Role Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting‑edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real‑time detection and defense against threat actors, for both federal and commercial clients. Incorporate open‑source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI/CD Experience packaging and deploying production‑level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Agentic AI Machine Learning Engineer**The Opportunity:**As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.Ready to transform the Defense and Intelligence sectors with sof Join us. The world can't wait.**You Have:*** 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks* 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data* 3+ years of experience working in cloud environments, including AWS and Azure* 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes* Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex* Experience in connecting Agents to APIs, Cloud platforms, or databases* Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use* Experience with MLOps, GitOps, and CI/CD tooling* TS/SCI clearance* Bachelor's degree**Nice If You Have:*** Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM* Experience with client engagements, client-facing project work, and business development* Experience with project work in deep learning, computer vision, NLP, or signal processing* Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services* Ability to adapt in a rapidly changing environment* Possession of excellent verbal and written communication skills* Possession of excellent interpersonal, analytical, problem-solving, and organizational skills* TS/SCI clearance with a polygraph* Master's degree**Clearance:**Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.**Identity Statement**As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.**Work Model** Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.* If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.* If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.**Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **Commitment to Non-Discrimination**All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #J-18808-Ljbffr