Senior mechanical engineer jobs in Dallas, TX

Systems & Projects Engineer (MSP Experience Required) Denton, TX Career Path: Senior Engineer → Lead Engineer → Solutions Owner The Client works in the real MSP world with 60 to 150-client mix, diverse stacks, fast execution, clean documentation, and team-based delivery. They've doubled the client base over the past two years, and with 25 employees they still function like a team that eats lunch together and wins as one. The growth is intentional: cybersecurity maturity projects, scheduled refreshes, modern centralization, and project plans that are actually scoped before they land on your desk. We're hiring a Systems & Projects Engineer who enjoys variety and ownership andbuilding, improving, standardizing, and advising across multiple SMB environments. What You'll Work On Microsoft 365 environment improvements, tenant cleanup, policies, identity Hyper-V / VMware upgrades, migrations, consolidations Network improvements (firewalls, segmentation, refreshes, Wi-Fi redesigns) Standardization projects across multiple SMB clients (not enterprise red tape) Documentation + modernization reviews with leadership support Why People Stay Family-built MSP, established 20+ years, zero revolving-door culture Structured career track (no guessing if you'll ever move up) Training and certifications funded without begging for approvals Ideal Background 3-6 years in the MSP space (must have MSP experience) Comfortable navigating 15-150 user environments Hands-on with M365 identity, desktop/server refresh projects, and virtualization Solid network fundamentals Compensation $95K-$110K Medical, Dental, Vision, Life If you're tired of being the enterprise cog or the unnamed “resource” in a global queue, and you miss actually seeing the human side of tech - this is the space.

Lead the design and development of AI solutions, driving innovation and technical excellence from concept through implementation. Guide the build of advanced ML/LLM applications, ensuring high performance, quality, and safety. Partner closely with cross-functional teams to translate business priorities across AI ‘plays' into scalable AI products. Mentor and direct a small, high-performing engineering team to deliver impact quickly and reliably. Position Responsibilities: §Provide deep into into AI strategy and planning §Lead development of AI algorithms §Optimize performance of AI models §Collaborate cross-functionally §Stay updated with research & innovation §Drive architecture and prototyping of LLM applications §Stand up data ingestions, managing integration with wider Catalyst systems §Own delivery of use cases §Implement quality and safety framework •Senior manager •Reports to Head of AI •Leads 2-6 engineers per development pod Requirements: §Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field §Proficiency in agentic frameworks §Extensive experience in designing and implementing AI models §Strong programming skills, e.g., Python/TypeScript

Must be willing to relocate to CA, and Relocation Assistance is Available. On-site Work Location: Ontario, CA, Woodland, CA or Sacramento, CA locations Compensation Salary: $85,000-$95,000 At Clark Pacific, exciting building projects are just the beginning! As the West Coast's leading prefabricator of building systems, our talented team of professionals bridge the gap between construction and manufacturing every day, providing solutions and innovations that deliver high-performance structures with enhanced cost, schedule, and safety. It all starts with the Clark Pacific Employee Experience: top talent people working together in an environment that fosters collaboration, growth & development, and compassion. We are great people doing great things, together! We have over 60 years of experience and have successfully contributed to some of the West Coast's most iconic buildings including the Golden 1 Center, the Apple II Campus, the San Francisco 49ers stadium, and the Stanford Escondido Village Graduate Housing to name just a few. When people want to experience, quality, and a partner they can trust, they choose Clark Pacific. Repeat customers, numerous building and environmental stewardship awards, and great employees are some of the things for which we are most proud and grateful. Clark Pacific is seeking a Project Engineer to support our Woodland, CA or Sacramento, CA location. Overview of the position: At Clark Pacific, the Project Engineer is a position that facilitates the successful design, fabrication, and installation of architectural and structural building systems. Working as part of an integrated team within a specific business unit, this role applies engineering, project management, problem solving, and communication skills across all levels and disciplines within the organization, significantly contributing to the project success of some of the West Coast's most iconic and exciting prefabricated buildings. Initial activities pertaining to the Design Phase, including, but not limited to: Submittal drawings (floor plans, elevations, material specifications, connection details, Reinforcing details, General panel details, Design approvals, Reinforcement drawings, and Miscellaneous metal drawings. Manufacturing-related activities pertaining to the Production Phase, including, but not limited to: Providing complete shop drawings (panel elements, structural elements, formwork, form change studies, Birdseye, stripping and yard handling studies to facilitate manufacturing, Ensuring purchasing of all required materials and forms, Design lifting hardware, loops, rigging, brackets, and inserts for stripping and handling forces, Provide and maintain a casting schedule, Perform quality checks, and Engage in start-up meetings with manufacturing, and remain engaged throughout each project's life cycle. Field-related activities pertaining to the Erection Phase, including, but not limited to: Preparing crane studies, rigging diagrams, and the overall project erection plan as well as erection sequence, load lists, and diagrams, Coordinate shipping of miscellaneous metal, Coordinate field manpower requirements with Field & Trucking team to alignment to budget, Ensure fall protection plan is in place, Professionally represent the Company at the field erection site, and Inspect erection quality and performance to plan and budget. General project management including, but not limited to: Project performance to contract specifications, budget, and time commitments, Issue identification, problem-solving, resolution, and escalation (as necessary), Coordinate necessary and requested procedure submittals (such as welding, grouting, post-tensioning, etc., Engage with internal resources throughout the Company to contribute, learn, and develop professionally. Preferred Education and Experience BS in Civil Engineering or Mechanical Engineering, or an Engineering-related degree EIT certification preferred Core Values: Determination: Meet challenges head on! Innovation: Always look for better! Well-Being: Seek the success, health and happiness of all! Benefits: Competitive compensation, being paid on a weekly basis. Health, Dental and Vision Insurance with the options of using Kaiser and VSP for vision! Medical FSA Dependent Care FSA Employer paid life insurance paid by Clark Pacific Voluntary Ancillary Benefits such as Critical Illness, Accident Insurance and Whole life insurance. 401k matching 100% of the first 3%, then 50% of the next 2% *Benefits will be subject to a waiting period* Interested? Want to learn more? If you're a hard-working nice person who is smart and curious, and think that this position is right for you, we want to hear from you. Please apply and let's begin the journey. Welcome to Clark Pacific. Let's do great things together! Clark Pacific is an Equal Opportunity Employer Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #LI-MV1

Cloud Architect (Google Cloud Platform - GCP) Client: IT Service Partner Engagement: Contract (C2C) Pay Rate: $55-57.50/hour (C2C) About the Role We are seeking an experienced Cloud Architect with deep expertise in Google Cloud Platform (GCP) to support enterprise-level cloud strategy and modernization initiatives for our client, Cognizant. This role will focus on designing, developing, and managing scalable and secure cloud solutions that enable high-performance, resilient, and cost-optimized environments. As a Cloud Architect, you will lead cloud migration efforts, define architecture standards, guide engineering teams, and ensure best practices across security, automation, and infrastructure-as-code. This is an excellent opportunity to contribute to high-impact digital transformation programs within a global technology organization. Key Responsibilities Architect, design, and implement cloud solutions on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance. Lead and oversee cloud migration projects, including assessments, planning, execution, and optimization. Collaborate closely with cross-functional teams (engineering, security, DevOps, product) to ensure alignment with business and technical objectives. Develop architecture diagrams, best-practice documentation, and technical standards to support cloud adoption. Evaluate business requirements and translate them into secure, efficient cloud solutions. Maintain strong governance around cloud security, compliance, and resiliency frameworks. Leverage automation and infrastructure-as-code tools (Terraform, Ansible, Deployment Manager, etc.) to streamline deployments and operations. Monitor cloud systems and optimize performance, cost, and security posture. Provide technical leadership, mentoring, and guidance to engineering teams and stakeholders. Required Skills & Experience 5+ years of hands-on experience as a Cloud Architect or senior cloud engineer. Strong expertise across GCP services (Compute Engine, Cloud Storage, GKE, VPC, IAM, BigQuery, Cloud Run, Cloud Functions, etc.). Deep knowledge of cloud security, identity and access management, and compliance controls. Demonstrated experience leading cloud migration and modernization initiatives. Proficiency with Infrastructure-as-Code (Terraform, Deployment Manager, Ansible). Strong background in automation, CI/CD, networking fundamentals, and system design. Excellent communication, documentation, and problem-solving skills. Preferred Qualifications GCP Professional Cloud Architect certification (or equivalent). Experience in large enterprise environments or consulting organizations. Familiarity with multi-cloud or hybrid-cloud architectures.

Senior WLAN Engineer (High-Density Wi-Fi / RF Optimization) Contract | Onsite 3 Days/Week | Dallas-Area A global technology organization specializing in large-venue connectivity is seeking a Senior WLAN Engineer to join their advanced wireless engineering team. This role centers around designing, commissioning, optimizing, and supporting high-density Wi-Fi networks across complex, large-scale environments. You will collaborate closely with cross-functional engineering teams and customer stakeholders to ensure exceptional wireless performance, reliability, and user experience across mission-critical deployments. What You'll Be Doing: Design, engineer, and support enterprise-grade WLAN and Wi-Fi infrastructures across large commercial venues. Perform peer reviews of predictive RF models using industry-standard wireless design tools. Conduct onsite and remote site surveys, spectrum analysis, and performance assessments. Configure and optimize Cisco, Ruckus, and Extreme wireless platforms and their respective controllers. Provide installation guidance to field teams on access point placement, antenna selection, cabling, and wireless hardware setup. Deliver operational support, configuration updates, troubleshooting, and change implementations. Plan, commission, and optimize high-density Wi-Fi environments, including point-to-point wireless links. Implement WLAN features such as Secure Mobility, Voice over WLAN, Guest Access, and Passpoint/Hotspot 2.0. Perform RF channel planning, static assignments, and power-level optimization. Apply best practices across 2.4GHz, 5GHz, and 6GHz deployments. Evaluate wireless hardware, antennas, and related network components. Manage priorities and deliver high-quality work within project timelines. Produce detailed technical documentation for designs, standards, and operational procedures. Contribute to internal best-practice guidelines and engineering playbooks. Requirements: 6+ years of hands-on experience designing, deploying, and optimizing WLAN networks in enterprise, MSP, campus, or high-density environments. Deep expertise in Wi-Fi/RF architecture, RF optimization, and wireless troubleshooting. Experience with: Cisco Wireless Controllers (9800/8510/8540) Ruckus SmartZone / vSZ Extreme Networks wireless platforms Strong understanding of 802.11 standards (b/g/n/ac/ax/be) and point-to-point wireless technologies. Advanced troubleshooting capability in complex wireless environments. Experience deploying: Secure Mobility Voice over WLAN Guest Access Passpoint / Hotspot 2.0 Proficiency with Ekahau and modern spectrum analysis tools. Knowledge of Cisco routing/switching and TCP/IP networking (preferred). Strong customer-facing communication skills with both technical and non-technical audiences. Excellent written and verbal communication. Proficiency with standard documentation tools (e.g., Office, Visio). Degree in Computer Science, Electrical Engineering, or equivalent experience. Why This Opportunity? Work on large-scale, high-density wireless environments with significant technical impact. Join a team that values innovation, structured design, and engineering excellence. Gain exposure to next-generation wireless technologies, including the expansion of 6GHz and emerging WLAN standards. Hands-on involvement in complex RF challenges across diverse commercial venues.

Gray Construction is looking to add a Japanese Speaking Project Engineer with a Mechanical Engineering background to their Charlotte, NC or Atlanta, GA office. Responsibilities Why Gray? Gray is a fully integrated, global service provider deeply rooted in engineering, design, and construction, along with smart manufacturing and equipment manufacturing services. Consistently ranked as a leader in the industry, we focus on the following markets for domestic and international customers: Food & Beverage , Manufacturing , Data Centers , Distribution , Commercial and Advanced Technology . Founded in 1960, Gray has grown to encompass a complementary family of brands designed to augment and enhance each other's specialized capabilities without gaps or redundancies. Our robust offering-which includes strategy, operational improvements, construction, extensive engineering, automation & controls, and equipment manufacturing-enables us to create one-of-a-kind solutions at the highest levels of customization, delivering unmatched precision and partnership to some of the world's most sophisticated organizations. Develop, update and monitor job progress using QMS program, including scheduling, estimating and budgeting to ensure that construction of project parallels with schedule. Perform quantity take off(s), cost estimates and bid solicitation. Provide research options and regulation information as required. Purchase and coordinate the delivery of certain materials for the project(s) ensuring optimum prices, quality and conformance to specifications and budget. Reviews and approves invoices and change orders. Negotiate with subcontractors and vendors for specific trades ensuring that all scope is encompassed. Review vendor and subcontractor shop drawing submittals for construction as directed by the supervisor. Relocate to specific job sites (if required) in order to become familiar with procurement and construction practices. Attend weekly job site meetings. Assist in the preparation of various reports to assist in the successful management of the project(s), such as: monthly red files, progress analysis/schedules, billings and status reports. Assist in the organization and maintenance of job files to ensure continuity of work flow. Submit verbal and written reports on project status to supervisor. Communicate effectively with customer, direct consultants and subcontractors on the project(s). Responsible for the communication, implementation and enforcement of Gray's safety program on site. Other duties may be assigned. Qualifications Bachelor's degree from four-year college or university and a minimum of three years related experience. Must possess basic computer skills including the ability to utilize word processing, spreadsheet and e-mail applications. May also require working knowledge of scheduling applications. The new team member should be an energetic, self-motivated individual who enjoys a team environment, as well as a passion for collaboration and professional development. If you are a high achiever striving to exceed expectations in a fast-paced innovative company, then Gray is the place for you. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically present in Birmingham office. Physical Demands & Work Environment The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this position, the team member is frequently required to stand, walk, sit, use hands and arms, reach, and talk or hear. They are regularly required to climb or balance, stoop, kneel, or crouch. Must frequently lift and/or move up to 25 lbs, and occasionally lift or move up to 100 lbs. Specific vision abilities include accurate near and distant vision. Frequently in a normal office environment where noise level is moderate and temperature/humidity is controlled. Occasionally exposed to wet and/or humid conditions, moving mechanical parts, and outside weather conditions. May be exposed to high, precarious places, fumes or airborne particles, extreme cold and/or heat, risk of electrical shock, explosives and vibrations. Noise level on the job site is normally moderate to loud. Overtime may be required. Some travel may be required. Supervisory Responsibilities Indirectly supervises the activities of subcontractors and field personnel. EEO Disclaimer Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs. · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays. · Paid parental leave. · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring. · Mentoring, coaching, and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Direct Hire (No C2C or third-party submissions) Schedule: 2 days onsite weekly As a Senior IAM Engineer, you will design and implement solutions that address enterprise and cloud cyber risk requirements, with a primary focus on our SailPoint IdentityNow deployment. This role involves delivering SailPoint/IGA integrations with ServiceNow and connecting SailPoint to core systems such as Workday and Azure Active Directory. The ideal candidate will have deep expertise in SailPoint implementation and a strong development/engineering background-specifically in Java and object-oriented programming. Requirements: Proven experience integrating SailPoint IdentityNow with CyberArk, Azure AD, ServiceNow, and developing APIs for SailPoint functionalities. Strong proficiency with RESTful web services, SAML 2.0, SailPoint IdentityNow, OAuth, WS-Security, and other authentication/authorization protocols. Exceptional communication skills and a track record of collaborating effectively with clients and partners. Expert-level knowledge of IAM protocols, including SCIM, Web Services, WS-Fed, SAML, OpenID Connect, and OAuth. Bachelor's degree preferred, or a minimum of 7+ years of hands-on Identity & Access Management (IAM) deployment and engineering experience. Duties: Design and implement SailPoint IdentityNow or IdentityIQ (IIQ) solutions and access management frameworks to meet organizational requirements. Architect and deploy CyberArk solutions, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and Privileged Threat Analytics (PTA). Collaborate with application teams to identify, aggregate, and correlate application/system user accounts with identity cubes in SailPoint. Configure and develop SailPoint modules such as audit, compliance, lifecycle management, and service account management. Design, develop, test, and troubleshoot custom system/application connectors within SailPoint IdentityNow. Demonstrate product expertise in SailPoint IIQ, CyberArk, Microsoft Active Directory, relational databases (Oracle, SQL Server, MySQL, DB2), Java, BeanShell, REST APIs, and web services. Diagnose and resolve technical issues related to SailPoint and CyberArk platforms. Perform regular audits and reviews to ensure compliance with security policies and standards. Create and maintain documentation for processes, procedures, and system configurations. Mentor and train junior team members on best practices and technologies related to SailPoint and CyberArk.

Must Have Technical/Functional Skills • Design Scalable Data Warehousing Solutions using Teradata. • Develop and maintain normalized (3NF) and dimensional models. • Optimize physical models and fine tune queries for performance. • Design and develop Tera Data ETL jobs and data pipeline. • Design, Develop and support enterprise data warehouse solutions leveraging Teradata and Teradata tools and utilities. • Extracting data from various data sources, transforming, and loading it into target systems. • Ensuring data quality, integrity, and consistency across different systems. • Developing and maintaining data warehouses, data lakes and data mart architecture. • Optimizing ETL processes for performance, scalability and reliability. • SQL proficiency (intermediate skill level minimum) • Ability to manage Teradata/SQL Server/ Oracle database migration including code migration, data loads and server retirements. • Troubleshooting and resolving data integration issues • Solid skills with writing/translating SQL queries and SQL data validation. • Performance tuning of SQL queries. • Defining, managing, and monitoring job schedules, as well as troubleshooting issues within the Autosys environment • Understanding and implementing job schedules, dependencies, and workflows within Autosys • Analyzing and resolving issues with Autosys jobs and processes Roles & Responsibilities • Optimizing Database jobs for performance by collaborating with DBAs and implementing SQL coding and design changes within the job structure. • Actively participated in troubleshooting and resolving issues related to data loading delays and database server outages, ensuring minimal disruption to data flow and system operations. • Engaged in periodic reviews of job logs and performance metrics to identify trends, proactively addressing potential issues. • Troubleshooting production issues through meticulous job log reviews, implementing necessary design changes via change management and adhering to the code promotion process. • Contributed to the development and maintenance of documentation for troubleshooting procedures, best practices, and system configurations, facilitating knowledge sharing within the team and managing Change Requests • Resolving data issues arising from load delays or database server downtimes, with a focus on ensuring customer satisfaction. • Collaborated with stakeholders to understand business requirements, providing valuable insights and recommendations for optimizing data processing workflows. Base Salary Range: $120,000 - $140,000 per an num TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Role: AI/ML Lead Engineer - FTE Job Details We're seeking a AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems. This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies. Responsibilities: Business Analytics & Intelligence: Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques. Model Engineering: Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization. Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining. Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs. Knowledge Graph Integration: Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems. Enterprise Fine-Tuning: Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows. AI Infrastructure: Develop robust ML pipelines using AI/ML Ops tools Risk Mitigation: Identify and address risks in AI/ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies. Multi-functional Collaboration: Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals. Collaborator Involvement: Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions. Research & Innovation: Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation. Expectations: To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML engineering, with a solid base in Python Proficient in ML libraries & toolkits, predictive modeling, pattern recognition, analytics, etc. Proven experience with LLMs, NLP, and generative AI frameworks Understanding of neural network architectures including CNNs, RNNs, transformers, and attention mechanisms. Expertise in knowledge graph construction and integration with conversational systems. Familiarity with MLOps, model lifecycle management, and secure data governance practices. Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker/Kubernetes), and CI/CD pipelines. Strong communication and leadership skills to drive multi-functional initiatives and present to executive audiences.

57001 Richardson, TX -onsite As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. Key Responsibilities Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks. Integrate GenAI models into full-stack applications and internal workflows. Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs. Build reusable components and services for multi-agent orchestration and task automation. Optimize AI inference pipelines for scalability, latency, and cost efficiency. Participate in architectural discussions, contributing to the pod's technical roadmap. Core Skills & Experience Must Haves 8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production Hands-on experience with Python only for AI/ML model integration. Experience with LLM frameworks (LangChain, LlamaIndex is a must) Exposure to agentic frameworks (Langgraph, Google ADK, is a must) Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices. Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE. Good-to-Have Experience building AI APIs, embeddings, vector search, and integrating them into applications. Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs. Exposure to multi-modal AI systems (text, image, or voice). Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.

As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. Key Responsibilities Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks. Integrate GenAI models into full-stack applications and internal workflows. Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs. Build reusable components and services for multi-agent orchestration and task automation. Optimize AI inference pipelines for scalability, latency, and cost efficiency. Participate in architectural discussions, contributing to the pod's technical roadmap. Core Skills & Experience Must Haves 8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production Hands-on experience with Python only for AI/ML model integration. Experience with LLM frameworks (LangChain, LlamaIndex is a must) Exposure to agentic frameworks (Langgraph, Google ADK, is a must) Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices. Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE. Good-to-Have Experience building AI APIs, embeddings, vector search, and integrating them into applications. Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs. Exposure to multi-modal AI systems (text, image, or voice). Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.

Crossing Hurdles is a global recruitment firm that partners with US-based companies to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles. Location: Richardson, TX / Remote Employment Type: Full-Time Seniority: Mid-Senior to Senior Experience: 8+ years overall (2-3+ years in GenAI/AI systems) About the Role As a Generative AI Engineer, you will be a core member of a high-impact engineering pod, responsible for building and integrating agentic AI systems powered by advanced LLM and Generative AI technologies. You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into production-ready, enterprise-grade solutions. What You'll Be Working On Designing, developing, and deploying agentic AI systems using modern LLM frameworks Integrating Generative AI models into full-stack applications and internal workflows Collaborating on prompt engineering, model fine-tuning, and evaluation Building reusable components for multi-agent orchestration and task automation Optimizing AI inference pipelines for scalability, latency, and cost efficiency Participating in architectural discussions and contributing to the technical roadmap Must-Have Experience 8+ years of software engineering experience 2-3+ years of hands-on experience with AI/ML or Generative AI systems in production Strong experience using Python for AI/ML integration Hands-on with LangChain and LlamaIndex Experience with agentic frameworks such as LangGraph or Google ADK Understanding of Git, CI/CD, DevOps, and production-grade AI deployment Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, GKE) Nice to Have Experience with embeddings, vector databases, and AI APIs Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs Exposure to multimodal AI systems (text, image, voice) Familiarity with low-code/no-code workflow tools Why This Role Work on real-world, production AI systems High ownership and hands-on technical impact Opportunity to build and scale enterprise-grade GenAI solutions Collaborate with senior engineers on complex AI problems

IDR is seeking a Lead Power BI Developer to join one of our top clients for an opportunity in Coppell, TX. This role is integral to designing, developing, and optimizing enterprise data models, metrics, and Power BI reports that support data-driven decision-making across the organization. The ideal candidate combines Power BI visualization expertise with hands-on data engineering experience in Databricks, building scalable, high-quality data products for enterprise and self-service analytics. Position Overview for the Lead Power BI Developer: Play a key role in designing, developing, and optimizing enterprise data models, metrics, and Power BI reports. Collaborate with cross-functional teams to deliver scalable data solutions that support strategic business goals. Blend Power BI visualization skills with data engineering expertise in Databricks to build high-quality data products. Support both enterprise and self-service analytics initiatives through interactive dashboards and certified datasets. Utilize advanced SQL and data transformation skills to ensure high performance and accuracy of data and reports. Requirements for the Senior Power BI Developer: 8+ years of BI development experience, with a focus on Power BI 5+ years experience with Power BI, including DAX, Power Query, semantic modeling, and KPI framework creation. 2+ years of recent Lead experience, mentoring and leading other PowerBI Developers on the team Hands-on experience developing interactive dashboards and certified datasets for enterprise users. Advanced SQL skills for querying, validation, and performance optimization. Strong hands-on skills in Databricks, including PySpark, SQL, Delta Lake, and Unity Catalog, with the ability to collaborate with Data Engineers. What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.

🌥️ Now Hiring: Senior Azure Cloud Engineer - Texas (75039) | 6-Month Contract 🚀 We're looking for an experienced Senior Azure Cloud Engineer to join our team in Texas (75039)! This is a 6-month contract with a strong possibility of extension or full-time placement. If you're passionate about cloud automation, CI/CD, and designing modern cloud solutions - this role is for you! ⚡ 🔧 What You'll Do 🚀 Automate cloud provisioning using Terraform, Chef, Puppet, and more 🛠️ Build high-quality automation workflows aligning tech + business strategies 🤝 Embed with engineering teams to deliver best-practice CI/CD and cloud-native solutions 📦 Champion TDD/ATDD, trunk-based development, version control, and pipeline automation 🔍 Drive PoCs and perform technical feasibility studies 🐛 Troubleshoot complex production issues and drive resolution 🌐 Manage 3rd-party data streams into datacenter and cloud 🧭 Collaborate with Architecture teams on strategic cloud enablement 📈 Ensure high availability, monitoring, and operational excellence 🎓 Act as an Azure Cloud SME, guiding teams on standards and governance 🛡️ Lead compliance automation and policy-as-code initiatives 📣 Communicate risks, progress, and updates with stakeholders 🗺️ Create diagrams (system flow, data flow, sequence, UML) and architecture documentation 🧠 Required Skills & Experience 💼 7-10 years in IT ☁️ 5-7 years hands-on cloud experience (Azure, AWS, GCP) 🔹 Strong expertise with: Azure services (Event Hub, VMs, AKS, Storage, DNS, App Service, Redis, VNETs) Terraform, ARM Templates, CloudFormation Puppet, Chef, Ansible, Jenkins, Azure DevOps Python, Ruby, Linux OS Monitoring tools (DataDog, Splunk, Nagios, Zipkin, AppDynamics) SCM, CI/CD, Artifactory, Sonar, Maven/Gradle/Webpack 💡 Deep knowledge in software design, networking, storage, security, virtualization, DB arch, and Linux admin 🔗 Strong understanding of API gateways, web services, integration patterns 🔄 Experience with Agile/Scrum 🗣️ Excellent communication & documentation skills 🧭 Proven leadership, mentoring, and architectural guidance experience ⭐ Preferred 🏦 2-3 years experience in consumer banking 🔥 Experience handling high-visibility, fast-paced, on-call environments

CarMax, the way your career should be! About this job As a BI Platform Engineer, you will be responsible for the administration, optimization, and support of enterprise business intelligence platforms including Power BI and Tableau. You will work closely with multiple analyst and Technology Infrastructure teams to ensure high availability, performance, and scalability of BI environments. Your expertise in Data & Analytics platform engineering, automation, cloud technologies, and user enablement will help drive data democratization and empower business users with reliable, secure, and performant analytics tools. In addition, you will leverage Artificial Intelligence (AI) capabilities to enhance platform operations, automate routine tasks, and improve user experience. Your ability to integrate intelligent automation and predictive analytics into BI workflows will help drive innovation and efficiency across the organization. What you will do - Essential Responsibilities Administer, monitor, and optimize Power BI and Tableau platforms across cloud and on-prem environments. Implement and manage user access, security roles, and governance policies to ensure data protection and compliance. Manage PowerBI Fabric capacities, gateway, workspaces and licensing Collaborate with cross-functional teams to support dashboard development, data source integration, and performance tuning. Automate platform maintenance tasks including upgrades, patching, backups, access provisioning and license management. Develop and maintain CI/CD pipelines for BI content deployment and version control. Integrate AI tools to automate platform monitoring, anomaly detection, and performance optimization. Provide technical support and troubleshooting for BI platform issues and user inquiries. Drive adoption of BI tools through training, documentation, and enablement initiatives. Monitor platform usage and performance metrics to identify opportunities for optimization and cost savings. Stay current with BI platform updates, features, and industry best practices. Partner with data governance and security teams to ensure compliance with enterprise standards. Participate in major incident response and root cause analysis for BI-related outages or performance issues. Mentor junior team members and promote best practices in BI platform administration and engineering. Purpose of the role The BI Admin/Platform Engineer plays a critical role in ensuring the reliability, scalability, and usability of enterprise BI platforms, enabling data-driven decision-making across the organization. By integrating AI capabilities, this role also contributes to smarter, more efficient platform operations and user experiences. Basic Qualifications 5+ years of experience administering Power BI and Tableau platforms. Strong understanding of BI architecture, data modeling, and dashboard performance optimization. Experience in PowerBI Fabric and migration from PBIRS to Fabric Experience in Tableau and migration to Tableau cloud Experience with Azure services including Azure SQL, Azure Data Factory, and Azure Active Directory. Proficiency in scripting languages such as PowerShell, Python, or Bash for automation. Experience with CI/CD tools such as Azure DevOps or GitHub Actions. Familiarity with enterprise data lake/warehouse environments (EDL/EDW). Strong troubleshooting skills and experience with platform monitoring tools. Strong documentation, communication, and presentation skills. Experience working in Agile/Scrum environments Experience in cloud cost-savings plans, reviews, and reserved instances. Ability to positively influence team norms, culture, and technical vision Excellent communication skills with the ability to adapt to the audience Experience in a fast-paced, highly collaborative agile team within a Product-oriented organization. Effective problem-solving, analytical thinking, and a cloud-native and DevOps mindset. Preferred Qualifications Bachelor's/Master's degree in Computer Science, Information Systems, or related field Power BI and Tableau certifications Snowflake SnowPro, Azure, Databricks certifications Experience with cloud services such as Snowflake, Databricks, Azure Data Factory, Event Hub, Functions, Batch, Key Vault, and Log Analytics Strong experience with popular database programming languages such as SQL, PL/SQL, Stored Procedures Experience with Snowflake, Databricks, and other modern data platforms. Knowledge of REST APIs and scripting for platform automation. Familiarity with data governance, metadata management, and self-service BI enablement. Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement. Associates based in Richmond work onsite 5 days per week. Associates based in Plano work onsite 2 days per week. Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will NOT be considered for this specific role.

Job description below. Data Science Skills Deploy and maintain knowledge ingestion pipelines and integration into API-based services. Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG. Experience fine-tuning and deploying LLMs. Stay current on the latest GenAI trends, frameworks, and coding practices. Software Development Skills Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment. Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS. Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing. Required Qualifications: 5+ years of experience programming with Python. 3+ years of experience in Git and version control. 3+ years of experience with a public cloud ( 4+ years using Scikit-learn 2+ years of Lang chain experience. 2+ years of LLM experience building RAG systems 1+ year experience with vector databases such as MongoDB Atlas or Pinecone Portfolio of LLM applications and sample projects 5+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup 2+ years of LLM experience building RAG systems at scale (10,000+ documents). 5+ years' experience in DevOps with Github Actions or similar CI/CD tools. 5+ years of writing and deploying microservices 3+ years of Kubernetes experience Strong code refactoring skills Strong debugging skills. Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Do you want to work for a tech company that writes its own code, develops its own software, and builds its own products? We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. We make a difference for 65 million customers. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We want you to be curious and ask "what if?" Capital One started as an information strategy company that specialized in credit cards, and we have become one of the most impactful and disruptive players in the industry. We have grown to see ourselves as a technology company in consumer finance, with great opportunities for engineers who want to build innovative applications to give users smarter ways to save, transact, borrow and invest their money, as we seek to disrupt the industry again. As a Capital One SailPoint Engineer, you'll work on a SailPoint identity platform to support Identity Access Management needs. Responsibilities: Identify opportunities for automation, evaluate new tools, and drive implementation of technology that creates value for the organization. Build strong relationships with customers, stakeholders, and team members Provide regular updates to the management team on project progress Support the rollout and onboarding of new applications Responsible for overall delivery of software components which meet functional specifications & product requirements Automate component & integration tests Collaborating with tech leads to ensure integrated end-to-end design and delivery Good knowledge of secure coding practices Be fearless and try out new open source technologies/frameworks to solve business problems Be fungible in a full stack team and own all aspects of delivering business applications Assist in monitoring, troubleshooting, and providing problem resolutions to related incidents Operational support with change and incident management processes Basic Qualifications: High school diploma, GED or equivalent certification At least 4 years of Hands On Experience in Java or Python At least 4 years of experience SailPoint IdentityIQ At least 4 years of experience troubleshooting IGA Rules, workflows and customizations At least 4 years of experience in any Databases in writing SQL Queries to extract data. At least 4 years of experience troubleshooting end user issues Preferred Qualifications: Bachelor's Degree 5+ years of experience supporting Java and SailPoint applications 4+ years of experience with Role Based Access Controls (RBAC) 4+ years of experience troubleshooting end user issues in Access Certifications 3+ years of experience with NetIQ 3+ years of experience with Cyber Security Domain specifically IAM 2+ years of experience with Amazon Web Services (AWS) Experience with various APIs including SCIM, REST, and SOAP Familiarity with programming and web technologies such as Java or Bean Shell, JavaScript, SPML or SOAP, JSF. ITIL Certification AWS Certification At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $175,800 - $200,700 for Manager, Cyber Technical McLean, VA: $193,400 - $220,700 for Manager, Cyber Technical Plano, TX: $175,800 - $200,700 for Manager, Cyber Technical Richmond, VA: $175,800 - $200,700 for Manager, Cyber Technical Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Platform Engineer (Network Infrastructure) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Network Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Network engineer responsible for designing, implementing, managing and troubleshooting computer networks to ensure efficient and secure communication within the Capital One network. Role would include, but not limited to: Network Design & Architecture - Planning and developing network infrastructure based on business needs. Creating Bill of Materials and getting quotes from vendors. Ordering and installing network circuits. Installation & Configuration - Setting up routers, SD-WAN routers, switches, Out of Band management and other network equipment. Maintenance & Optimization - Monitoring performance, troubleshooting issues, and optimizing network efficiency. Security Management - Implementing security measures to protect against threats. Support & Troubleshooting - Diagnosing and resolving connectivity and performance issues. Upgrades & Scalability - Keeping networks updated with the latest technology and ensuring they can scale as the organization grows. Work with various networking technologies including LANs, WANs, SDWANs, VPNs, cloud networking and wireless networks, ensuring seamless communication and data transfer. Automation and scripting is highly desired to have. Brands of hardware- Cisco, Versa SDWAN, Lantronix. Basic Qualifications: High School Diploma, GED, or equivalent certification At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) At least 4 years of experience with AWS At least 2 years of team leadership experience Preferred Qualifications: 5+ years of experience with Cisco network hardware and software 2+ years of experience in Python or ansible scripting At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,400 - $180,800 for Lead Platform Engineer Chicago, IL: $144,000 - $164,400 for Lead Platform Engineer McLean, VA: $158,400 - $180,800 for Lead Platform Engineer New York, NY: $172,800 - $197,200 for Lead Platform Engineer Plano, TX: $144,000 - $164,400 for Lead Platform Engineer Richmond, VA: $144,000 - $164,400 for Lead Platform Engineer San Francisco, CA: $172,800 - $197,200 for Lead Platform Engineer San Jose, CA: $172,800 - $197,200 for Lead Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).