Engineering agent jobs near me - 208 jobs

A leading cybersecurity company is seeking a Senior Agentic Product Manager to drive their product vision and execution in agentic systems, cybersecurity detection, and generative AI research. The role demands extensive experience in product management, strong expertise in cybersecurity, and a proven track record in generative AI. Offering remote work, competitive benefits, and a commitment to diversity, this position focuses on delivering value and innovation within a collaborative environment. #J-18808-Ljbffr

A growth stage startup is seeking a Lead PM for Financial Audit Agents in San Francisco to build the industry's leading audit platform. The ideal candidate will have 5-8 years of product management experience with a strong focus on AI and financial audits. Responsibilities include developing AI agents, shaping the product roadmap, and collaborating with cross-functional teams. This role offers flexible working arrangements and a competitive compensation package. #J-18808-Ljbffr

A leading AI technology company is seeking an AI Engineer to join their Professional Services team in either San Francisco or New York. This role combines software development, AI/ML expertise, and customer engagement, requiring strong skills in agent engineering and experience with LLM frameworks. Candidates should have a solid understanding of cloud platforms and strong Python or TypeScript skills. Competitive compensation is offered along with benefits such as health coverage, 401(k), and flexible vacation. #J-18808-Ljbffr

A leading tech platform in San Francisco is looking for Electrical Engineer Professionals for a remote AI research project. The position offers flexible hours, allowing you to work independently. Candidates should have at least 4 years of professional electrical engineering experience. Key responsibilities include evaluating AI model responses in your field and providing structured feedback. This is an opportunity to leverage your expertise in a significant way while contributing to AI advancements. #J-18808-Ljbffr

Electrical Design Engineer (MEP) Houston, Texas $90,000 - $110,000 + Training + Career Progression + Support to Gain PE License + Bonus + Fantastic Benefits + Tuition Reimbursement + Work-From-Home Fridays! Are you an electrical engineer looking to work on exciting commercial MEP projects, with excellent training and a clear progression pathway to becoming a PE? This is an excellent opportunity to be the go-to electrical engineer on various technical construction projects, with the chance to progress into a Project Management position and gain your PE license. This growing company specializes in designing MEP systems for commercial projects. Due to their long-term expansion plans, they are looking for an Electrical Engineer to serve as a technical expert on diverse projects. They will also fund your PE license, granting you the opportunity to further advance your career. In this role, you will be based in the office, where you will be responsible for designing construction documents, producing electrical schematics and drawings, handling RFI documents, and liaising with clients and architects to meet project requirements. This is a great opportunity for an electrical engineer who wants to obtain their PE license and advance within a company that actively invests in its employees while working on technically challenging commercial projects. The Role: Serve as the technical expert for MEP systems in commercial projects Design electrical systems, liaise with site staff, and conduct site visits Office-based The Person: Electrical Engineer Degree in a relevant field Aspires to become a Professional Engineer

Job DescriptionJob Title: AI Engineer Agentic & RAG Systems Department: AI & Data Platforms Only US Citizens or Green Card Holders About the Role As an AI Engineer, you will design, build, and operate agentic AI systems end-to-endfrom concept to production. Youll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems. You will collaborate cross-functionally with product, ML, and design teamsbringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset. Key Responsibilities 1. RAG Development & Optimization Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data. Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency. Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.). Diagnose and iterate on challenges like chunk size trade-offs, retrieval quality, context window limits, and grounding accuracyusing structured evaluation and metrics. 2. Chatbot Quality & Evaluation Frameworks Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction). Implement continuous monitoring and automated regression testing using tools like LangSmith, LangFuse, Arize, or custom evaluation harnesses. Identify and prevent quality degradation, hallucinations, or factual inconsistencies before production release. Collaborate with design and product to define success metrics and user feedback loops for ongoing improvement. 3. Guardrails, Safety & Responsible AI Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention (I dont know) strategies. Use frameworks such as Guardrails AI, NeMo Guardrails, or Llama Guard to ensure compliance, safety, and brand integrity. Build policy-driven safety systems for handling sensitive data, user content, and edge cases with clear escalation paths. Balance safety, user experience, and helpfulness, knowing when to block, rephrase, or gracefully decline responses. 4. Multi-Agent Systems & Orchestration Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, CrewAI, or Haystack. Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks. Build observability and debugging tools for tracking agent interactions, performance, and cost optimization. Evaluate trade-offs around latency, reliability, and scalability in production-grade multi-agent environments. Minimum Qualifications Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics. Practical knowledge of agentic frameworks (LangGraph, LangChain) and evaluation ecosystems (LangFuse, LangSmith). Excellent communication skills, proven ability to collaborate cross-functionally, and a low-ego, ownership-driven work style. Preferred / Good-to-Have Qualifications Experience in traditional AI/ML workflows e.g., model training, feature engineering, and deployment of ML models (scikit-learn, TensorFlow, PyTorch). Familiarity with retrieval optimization, prompt tuning, and tool-use evaluation. Background in observability and performance profiling for large-scale AI systems. Understanding of security and privacy principles for AI systems (PII redaction, authentication/authorization, RBAC) Exposure to enterprise chatbot systems, LLMOps pipelines, and continuous model evaluation in production. This is a remote position.

Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/ Role Title: Founding AI Agent Engineer Location: Irvine, California (Onsite, relocation support available) Company Stage of Funding: Bootstrapped with significant revenue traction Office Type: Onsite, 5 days a week Salary: $240,000 - $350,000 base + competitive equity Company Description Our client is a fast-growing, well-capitalized startup at the intersection of consumer hardware and AI. The company is disrupting the sports simulation industry with affordable, accessible products that are already being used globally. With 1000% year-over-year growth, profitability, and a passionate community of hundreds of thousands, this is an opportunity to join a venture with both mission-driven impact and proven business momentum. You'll be joining a small, high-talent-density team that values speed, creativity, and execution. The company is expanding rapidly, with a roadmap to scale the team from 20 to over 100 in the next year. What You Will Do First 1-3 Months Build the AI Agent layer powering coaching and training experiences. Retrain and deploy computer vision models for real-time detection and regression on mobile devices. 3-6+ Months Contribute to stealth projects supporting 10x-100x growth initiatives. Develop synthetic video generation workflows using state-of-the-art tools. Collaborate with a biomechanics lab to push the boundaries of pose detection models. This role is hands-on and high-impact, with direct exposure to the founding team. Expect accelerated career growth and the ability to step into technical leadership within months. Ideal Candidate Background 1+ years of experience in software engineering (open to early-career, experienced, or exceptional new grads). Strong track record at high-talent density companies or top academic programs. Experience building and deploying AI agents, integrating multimodal inputs (video, structured data), and managing model workflows (prompting, fine-tuning, evaluation). Solid full-stack engineering skills with ability to build end-to-end applications quickly. Strong communication skills, adaptability, and collaborative mindset. Preferred Prior experience in startups or high-growth environments. Familiarity with computer vision, deep learning, and model deployment on mobile. Demonstrated history of personal or side projects showcasing technical creativity. Compensation, Benefits, and Perks Competitive salary in the range of $240,000 - $350,000. Meaningful equity packages with significant upside. Relocation assistance for candidates moving to Southern California. Opportunity to grow into a leadership role in a rapidly scaling company. Work alongside a team of ambitious, mission-driven peers building transformative products.

Job Title: AI Engineer - Agentic & RAG Systems Location: Remote Department: AI & Data Platforms Only US Citizens or Green Card Holders About the RoleAs an AI Engineer, you will design, build, and operate agentic AI systems end-to-end-from concept to production. You'll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems. You will collaborate cross-functionally with product, ML, and design teams-bringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset. Key Responsibilities1. RAG Development & Optimization Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data. Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency. Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.). Diagnose and iterate on challenges like chunk size trade-offs, retrieval quality, context window limits, and grounding accuracy-using structured evaluation and metrics. 2. Chatbot Quality & Evaluation Frameworks Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction). Implement continuous monitoring and automated regression testing using tools like LangSmith, LangFuse, Arize, or custom evaluation harnesses. Identify and prevent quality degradation, hallucinations, or factual inconsistencies before production release. Collaborate with design and product to define success metrics and user feedback loops for ongoing improvement. 3. Guardrails, Safety & Responsible AI Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention (“I don't know”) strategies. Use frameworks such as Guardrails AI, NeMo Guardrails, or Llama Guard to ensure compliance, safety, and brand integrity. Build policy-driven safety systems for handling sensitive data, user content, and edge cases with clear escalation paths. Balance safety, user experience, and helpfulness, knowing when to block, rephrase, or gracefully decline responses. 4. Multi-Agent Systems & Orchestration Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, CrewAI, or Haystack. Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks. Build observability and debugging tools for tracking agent interactions, performance, and cost optimization. Evaluate trade-offs around latency, reliability, and scalability in production-grade multi-agent environments. Minimum Qualifications Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics. Practical knowledge of agentic frameworks (LangGraph, LangChain) and evaluation ecosystems (LangFuse, LangSmith). Excellent communication skills, proven ability to collaborate cross-functionally, and a low-ego, ownership-driven work style. Preferred / Good-to-Have Qualifications Experience in traditional AI/ML workflows - e.g., model training, feature engineering, and deployment of ML models (scikit-learn, TensorFlow, PyTorch). Familiarity with retrieval optimization, prompt tuning, and tool-use evaluation. Background in observability and performance profiling for large-scale AI systems. Understanding of security and privacy principles for AI systems (PII redaction, authentication/authorization, RBAC) Exposure to enterprise chatbot systems, LLMOps pipelines, and continuous model evaluation in production. This is a remote position. Compensation: $130,000.00 per year About In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs. That's why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right. Who We Are Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need - with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company's unique scenario and requirement, and then architect a solution accordingly. Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders - customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.

As AI rapidly reshapes the consulting landscape by collapsing traditional expertise gaps, accelerating delivery expectations, and rewarding organizations that are both highly specialized and deeply mission aligned, DDC is positioned at the forefront of this evolution by pairing technical innovation with a purpose that serves the Navajo Nation. The AI Engineer will be responsible for designing, developing, and deploying advanced AI solutions on DDC's Stack AI platform. This hands-on role focuses on building agentic AI workflows as autonomous, multi-step processes powered by large language models (LLMs) that will transform how DDC operates and delivers value to clients. Reporting to the EVP of Innovation, the AI Engineer works within DDC's AI-First transformation, turning high-level strategy into practical, mission-aligned AI capabilities. By rapidly configuring AI Agents on a modern agentic AI infrastructure, the AI Engineer directly supports DDC's strategic initiatives, including the AI-First Growth Engine overhaul of our business development processes and the expansion of DDC's enterprise intelligence capabilities as outlined in the DDC AI-First Strategy. DDC is wholly owned by the Navajo Government and exists to create sustainable and culturally relevant prosperity for the Diné (Navajo People). Because DDC does not answer Wall Street or private equity interests, our Strategic Innovations Team operates with both the responsibility and the freedom to put people and mission first. Our work is inspired by the selfless contributions of the Navajo Code Talkers and reflects a commitment to advance innovation in a way that honors their legacy through service, resilience and meaningful impact. Job Duties and Responsibilities: Design and Implement AI Workflows Lead the design and deployment of enterprise-grade AI workflows using the Stack AI platform's visual builder interface. Construct dynamic pipelines that integrate large language models (LLMs), retrieval mechanisms, enterprise data sources, and multi-step business logic. Architect solutions that address complex tasks such as document summarization, structured content generation, data-driven decision support, and automated process flows. Ensure workflows follow modular design principles, are testable, maintainable, and compatible with DDC's configuration and deployment lifecycle standards. Develop and Orchestrate Agentic AI Solutions Build autonomous AI agents that perform goal-directed reasoning, access tools and APIs, retrieve contextual information, and coordinate multi-step actions aligned to defined outcomes. Implement robust retrieval-augmented generation (RAG) pipelines to ensure agents can access accurate, relevant, and timely knowledge from across DDC's structured and unstructured data stores. Design agents that address use cases ranging from proposal assembly to compliance automation, while incorporating fault handling, validation checkpoints, and human-in-the-loop controls to ensure reliability, auditability, and mission alignment. Establish Platform Standards, Patterns, and Design Governance Define and institutionalize platform-wide standards for agent development, including naming conventions, workflow patterns, versioning practices, interface expectations, and logic design rules. Curate and maintain a reference library of approved agentic design patterns and solution blueprints for use across departments. Document prompt and context engineering guidelines, RAG implementation templates, retry strategies, validation frameworks, and ethical decision logic. Promote reusable design across workflows, reducing duplication, increasing maintainability, and ensuring interoperability across agents built within DDC's Agentic AI Infrastructure. Build and Maintain Reusable Templates, Custom Nodes, and Pro Code Extensions Develop reusable workflow templates that encapsulate proven configurations for common processes and can be rapidly adapted for different contexts. Author reusable custom code nodes using platform supported languages that extend the core functionality of the platform. These pro-code extensions will handle complex operations such as advanced parsing, business-specific logic, API interactions, or data formatting. Package, document, and version these nodes to enable seamless reuse across workflows by both AI engineers and citizen builders, ensuring they are properly governed and integrated into the standards library. Implement Configuration Management, Version Control, and Environment Promotion Establish and enforce configuration management protocols to ensure all workflows, agents, and reusable components are versioned, traceable, and deployable across environments. Define promotion paths from development to staging and production, with clear checkpoints for testing, peer review, security validation, and governance approval. Support rollback procedures, release documentation, and change management to mitigate risk and support rapid iteration without compromising quality. Support Citizen Builders and Enterprise-Wide AI Enablement Serve as a mentor, reviewer, and escalation point for DDC's community of citizen developers building AI solutions in their functional areas. Provide training, coaching, and design oversight to ensure that citizen-built workflows follow platform standards, respect ethical AI principles, and deliver meaningful value. Develop documentation, internal wikis, and onboarding guides to empower non-technical builders while safeguarding platform integrity. Promote responsible autonomy within the builder community through curated component libraries, sandbox environments, and guided workflow templates. Serve as DDC's Stack AI Platform Champion and Strategic Liaison Act as the lead point of contact between DDC and Stack AI for all platform engineering matters. Collaborate with Stack AI's product and technical teams to provide feedback on feature performance, raise platform issues, evaluate new capabilities, and participate in roadmap co-design. Identify emerging integration needs, test beta features, and contribute real-world implementation insights that inform Stack AI's enterprise enhancements. Represent DDC's federal use cases and mission-specific priorities in shaping how the Stack AI platform evolves to meet the demands of agentic development at scale. Advance the AI-First Growth Engine and Proposal Transformation Strategy Design and implement intelligent agents that reimagine how DDC identifies opportunities, evaluates fit, assembles pursuit teams, writes proposals, and drives capture operations. Build tools that support knowledge reuse, automated content generation, resume tagging, compliance matrix generation, and competitor analysis. Collaborate closely with growth leaders to align agentic capabilities with pipeline objectives, proposal timelines, and opportunity strategy. Quantify improvements in velocity, win rates, and cost-efficiency tied to AI enablement across the growth engine. Address Enterprise Architecture Challenges and Improve Content Readiness Engage deeply with DDC's broader enterprise architecture environment including business process design, data architecture, application integration, and infrastructure architecture. Navigate technical debt and fragmentation, especially in systems such as SharePoint where document libraries are siloed and business processes are inconsistently applied. Implement minimum viable products (MVPs) that include workaround strategies when necessary but include forward-looking requirements and recommendations for department heads and functional leads to refactor and improve enterprise content exposure. Drive alignment between agent expectations and content quality, ensuring that both human collaborators and AI agents can efficiently access, interpret, and act upon enterprise knowledge. Develop Agentic Integrations Across Core DDC Systems Design and implement model-to-application interactions that integrate Stack AI agents with core enterprise platforms including SharePoint, Outlook, Teams, ServiceNow, and Workday. Use the Stack AI platform's supported integrations to enable agents to read and write data, automate ticket creation, retrieve HR policies, query calendars, and interact with collaborative content. Establish repeatable connection patterns, access control rules, data normalization strategies, and fallback handling to ensure secure, efficient tool usage across critical enterprise systems. Expand and Operationalize DDC's Intelligence Ecosystem Continuously broaden the scope and fidelity of DDC's AI-accessible knowledge graph. Ingest, classify, and index new sources of structured and unstructured data including resumes, policy documents, program artifacts, proposals, process maps, and systems documentation. Develop and refine metadata tagging strategies and enrichment pipelines to enhance agent retrieval capabilities and contextual accuracy. Promote alignment between business domains and data organization practices to strengthen the foundation of the enterprise intelligence ecosystem. Collaborate Across the Enterprise and Drive Innovation Culture Partner closely with stakeholders across all major business functions including HR, recruiting, finance, contracts, pricing, delivery, and IT to co-develop AI-enhanced workflows that solve real business problems. Work hand-in-hand with DDC's Communities of Practice to evangelize agentic thinking, document lessons learned, and promote continuous improvement. Foster a culture of exploration, practical iteration, and ethical experimentation within and beyond the Strategic Innovations Team. Ensure Ethical AI and Compliance in High-Risk Contexts Embed principles of responsible AI, compliance, and Navajo-informed stewardship into all workflows. Implement features that enable transparency, traceability, auditability, and human oversight in every AI deployment. Proactively monitor alignment with security frameworks such as FedRAMP, CMMC, and ITAR, and maintain strict compliance with data classification standards including CUI and PHI. Guide citizen builders in understanding the boundaries of acceptable agent behavior in regulated environments. Test, Optimize, and Maintain AI Workflow Performance Conduct structured testing of all workflows and agentic pipelines across multiple dimensions including latency, retrieval quality, LLM cost usage, error rates, edge cases, and prompt robustness. Identify and resolve performance bottlenecks, model hallucinations, and unreliable interactions with tools or data. Regularly refactor underperforming flows and perform regression testing to ensure platform health as updates or new components are introduced. Demonstrate, Document, and Communicate Measurable Impact Prepare high-quality demonstrations, internal showcases, and pilot rollouts to communicate solution capabilities to DDC leadership, clients, and end users. Maintain complete and accurate documentation of workflows, decision logic, components, testing results, and business impact. Track performance metrics and success indicators such as process efficiency gains, reduced manual effort, faster turnaround time, and improved client satisfaction. Contribute to organizational learning and innovation strategy refinement through formal and informal feedback channels. Job Requirements (Education/Skills/Experience): Required Qualifications: Must be a U.S. citizen with the ability to obtain and maintain a U.S. government security clearance if required by specific contract or project assignments. Minimum 3 years of professional experience in software development, data engineering, AI engineering, or a similar technical role supporting enterprise-scale systems. At least 1 year of hands-on experience building and shipping generative AI applications or retrieval-augmented generation (RAG) systems that operated in real user-facing environments. Experience must include designing workflows, using modern LLMs, integrating data sources, and solving practical AI delivery challenges. Demonstrated experience owning the lifecycle of AI-driven solutions from concept through deployment. Candidates should be able to provide a portfolio, demonstration artifacts, GitHub repositories, or equivalent examples of real AI systems such as chat assistants, workflow agents, knowledge tools, data extraction pipelines, or proposal-support agents. Experience working with enterprise architectures, ideally including business processes, data architectures, content repositories, and application ecosystems. Familiarity with environments where data is fragmented or inconsistent, and the ability to design AI workflows that operate effectively despite technical debt or process gaps. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a closely related field. AI Engineering and Workflow Design Strong understanding of large language models, prompt design, context engineering, RAG pipelines, vector stores, semantic search, and multi-step agent orchestration. Ability to design AI workflows that combine LLMs, tooling, structured data, unstructured content, enterprise APIs, and dynamic business rules. Agentic and Pro-Code Development Ability to build advanced agentic logic that supports tool use, multi-step reasoning, fallback behavior, human-in-the-loop decisions, and structured outputs. Skilled in writing custom code within Stack AI compatible environments, including Python and other languages as platform support evolves. Experience creating reusable code nodes, templates, and shared logic components that can be leveraged by both technical and non-technical builders. Platform and Integration Engineering Experience integrating AI workflows with enterprise systems such as SharePoint, Outlook, Teams, Workday, ServiceNow, CRM platforms, or HRIS environments. Ability to design robust connectors, data access patterns, and transformation logic that enable reliable agent interactions with fragmented repositories or inconsistent data structures. Enterprise Architecture Awareness Understanding of enterprise architecture domains including business process architecture, data architecture, application architecture, and infrastructure architecture. Ability to identify architectural gaps that hinder AI workflows and recommend improvements, content restructuring, metadata strategies, or process refinements to strengthen AI readiness across departments. Standardization and Governance Experience developing and maintaining standards, pattern libraries, naming conventions, documentation practices, and guidance for technical teams. Ability to formalize best practices for workflow design, RAG construction, prompt discipline, versioning, scalability, and ethical safeguards. Familiarity with configuration management, environment promotion, version control, testing protocols, and release management for AI workflows. Citizen-Builder Enablement and Mentorship Ability to mentor non-engineering staff who create workflows on no-code and low-code platforms. Experience conducting training, writing internal guides, reviewing citizen-built solutions, and ensuring compliance with security and responsible AI expectations. Problem Solving and Systems Thinking Strong analytical mindset with the ability to reverse-engineer business processes, map data flows, understand upstream and downstream system dependencies, and design AI interventions that meaningfully improve outcomes. Capacity to balance short-term MVP solutions against long-term architectural remediation needs, and to clearly articulate trade-offs to leadership. Platform Stewardship and Vendor Collaboration Ability to serve as a platform champion and represent DDC's needs to Stack AI's engineering and product teams. Experience providing structured feedback on features, participating in early access or beta programs, raising quality issues, and influencing platform evolution. Communication and Cross-Functional Collaboration Strong communication skills with the ability to explain AI workflows, limitations, risks, and opportunities to functional leaders, program managers, SMEs, and non-technical stakeholders. Experience working within complex, multi-department environments and building trust across organizational boundaries. Ethical and Responsible AI Competencies Understanding of responsible AI principles, including bias mitigation, fairness, transparency, traceability, and safe deployment practices. Commitment to building AI systems that honor DDC's heritage values, federal compliance requirements, and the trust placed in the organization by the Navajo Nation and its customers. Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC's ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

Imagine having an enterprise-grade AppStore at work - one that ensures you can easily search, request, and gain access to any app you need, precisely when you need it. No more long waiting times with outstanding IT requests. Lumos is solving the app and access management challenges for organizations of all sizes through a unified platform. Our fast-growing startup is pioneering the way to untangle the complex web of app and access management by building the critical infrastructure that defines relationships between app, identities and data. Why Lumos? Jump on a Rocketship: Since launching out of stealth mode just over 2 years ago, our team has grown from 20 to ~100 people and our customer base has 10x'ed with companies like GitHub, MongoDB and Major League Baseball! Build with Renowned Investor Backing: Andreessen Horowitz (a16z) backed us since the beginning and we've raised over $65m from Scale, Neo, Greg Brockman (President at OpenAI), Phil Venables (CISO at Google), and others. Thrive in a Unique Culture: You'll join an early-stage company where you have actual influence on the trajectory of the company. We deeply care about our people and the philosophy we live by - check out our values here. We're looking for a AI Agent Engineer to join the team. You'll build and own core AI features, in addition to helping to ensure the health of our engineering systems. You will work across the stack, focusing on areas you are most excited about and that bring value to customers. Beyond your technical work, you will gain leadership opportunities early on as we grow our engineering team. You'll be involved in scaling the product, the team, and the entire company. 🚀 ✨ Your Responsibilities Lead the development of agent pipelines: design modular SDK components, drive production rigor, and support the growth of junior engineers. Architect composable agent SDKs with built-in safety and robust fallback strategies. Design tracing tools and alert dashboards to ensure agent performance and quality. Own the agent lifecycle-from chaining and testing to CI/CD and production rollout. Collaborate closely with security and operations teams to ensure agent governance and auditability. Mentor and uplevel teammates on best practices in observability and resilience. Solve challenging technical problems across the stack to develop critical customer-facing features; includes the frontend (React, Typescript), communication layer (GraphQL, Apollo), and backend (Python, Flask, sqlalchemy). 🙌 What We Value We're looking for engineers who want to shape the next generation of intelligent agents-people who care deeply about building reliable, modular systems and elevating those around them. If you're energized by architecting robust agent SDKs, creating tools that ensure safety and observability, and mentoring others, you'll thrive at Lumos. You've built and deployed AI-driven workflows - such as tool-calling systems, retrieval-augmented generation (RAG) pipelines, or autonomous agentic orchestration using frameworks like LangChain, LangGraph. Strong software engineering experience with 5+ years of building and scaling end-to-end production systems. Strong knowledge of API design, system performance, and software architecture. Proficiency in modern programming languages such as Go, TypeScript, or Python, and familiarity with frameworks like React. Familiarity with identity and access management systems, such as SCIM, OAuth2, SAML, or integrating with IDPs and HRIS tools. 💰 Pay Range $175,000 - $300,000 Note that this range is a good faith estimate of likely pay for this role; upon hire, the pay may differ due to skill and/or level of experience. 💸 Benefits and Perks: 💯 Remote work culture (+/-4 hours Pacific Time) ⛑ Medical, Vision, & Dental coverage covered by Lumos 🛩 Company and team bonding trips throughout the year fully covered by Lumos 💻 Optimal WFH setup to set you up for success 🌴 Unlimited PTO, with minimum time off to make sure you are rested and able to be at your best 👶🏽 Up to 16 weeks for expecting parents 💰 Wellness stipend to keep you awesome and healthy 🏦 401k matching plan

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we've become a leader in AI marketing and partner with industry leaders like Domino's, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others. Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. About the Role We're building the future of AI driven marketing, one content agent at a time. As a senior engineer on the Content Agents team, you'll help redefine how marketers create, personalize, and launch campaigns. You'll design and ship intelligent systems that understand a company's data, generate on-brand content, and collaborate with humans in real time to deliver creative work at unprecedented speed and scale. We're looking for an engineer who's as comfortable shipping a full stack feature as experimenting with an LLM workflow. You'll build APIs, data models, and orchestration layers that make our agents reliable, debuggable, and fast. You'll also partner closely with product and design to deliver experiences that make AI feel natural, useful, and trustworthy. Example workstreams include: Building and maintaining backend services, APIs, and data models that power AI-generated marketing content. Developing new agent behaviors, taking them from quick prototypes to scalable production systems. Extending our existing web layer with new features that connect directly to AI workflows. Improving reliability, observability, and performance across our stack. Collaborating cross functionally to ship user facing features end-to-end, from design to deployment. If you're motivated by frontier work where there's no playbook yet, you'll fit right in. No prior AI or LLM experience is required, but strong backend architecture skills, curiosity, and product intuition are essential to bring ideas from napkin sketch to production reality. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. Interview Process Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch's values. Notably, we don't do any programming interviews as we believe they are low signal to noise and aren't a good evaluation mechanism. Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit. System Design Screen [60m]: Designing a data processing feature end-to-end. Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

About the team The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.About the role Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They'll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. As a Principal Machine Learning Engineer on the Agentic AI team, you will: Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users. Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production. Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage Distill complex research findings and system designs into actionable insights for diverse audiences-including executives Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $204,400.00 - $326,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $194,200.00 - $310,200.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology (i.e., LLM models, either from OpenAI or open source) with large-scale engineering. We are looking for someone who has: A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing 7+ years of hands-on work building large-scale, high-impact solutions-ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance A track record of publishing high-impact research in top AI/ML venues is a big plus. Get to know us At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. 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.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description As an Associate Distinguished Engineer - AI, Data Science & Agentic Solutions, you will act as a senior technical authority responsible for architecting, validating, and scaling next-generation AI systems across enterprises. This role is deeply hands-on with modern AI/ML ecosystems, agentic architectures, large-scale data platforms, and cloud-native engineering patterns. Preferred locations: Atlanta, GA & NYC, NY 1. AI Architecture & Technical Leadership Architect enterprise-grade AI systems using LLMs, multimodal models, vector databases, knowledge graphs, and agentic orchestration frameworks. Design end-to-end pipelines including data ingestion → feature engineering → model training → evaluation → deployment → feedback loops. Define and enforce engineering standards for MLOps, LLMOps, data quality, model observability, guardrails, prompt security, and hallucination mitigation. Consult on scalable microservices, model serving layers, retrieval-augmented generation (RAG) pipelines, and autonomous agent workflows. Conduct architectural reviews, performance tuning, and technical due-diligence for high-risk or complex AI solutions. 2. Advanced AI/ML Engineering Guide on how to build quick prototypes, PoCs, and production systems using modern AI stacks (transformer models, diffusion models, graph models, reinforcement learning, and agentic systems). Advise on selection of foundation models and fine tuning approaches. Advise on real-time data streams, event-driven systems, API layers, and cloud-native compute. Establish evaluation frameworks: bias, drift, explainability, reliability, performance. Lead complex troubleshooting, debugging, and optimization of AI pipelines and distributed training workloads. 3. Data Platform & Infrastructure Architecture Architect secure, high-throughput data platforms for AI/BI use cases based on lakehouse, medallion, streaming, and vectorized storage patterns. Define data governance, metadata, lineage, cataloging, and policy enforcement mechanisms. Deploy scalable compute using Databricks, Snowflake, Kubernetes, Ray, SageMaker, Vertex AI, and Azure ML. 4. Technical Advisory & Engineering Governance Guide CIO/CTO/CDO teams on AI system design, architecture modernization, model lifecycle governance, and platform engineering standards. Translate ambiguous requirements into well-scoped technical blueprints, reference architectures, and engineering backlogs. Evaluate enterprise readiness across data, models, infrastructure, and processes - producing AI maturity assessments and architectural recommendations. Mentor engineering teams in building reliable, secure, and scalable AI systems with measurable outcomes. 5. Innovation & Ecosystem Leadership Lead deep-dive technical workshops on agentic systems, generative AI patterns, model safety architectures, continuous learning loops, and intelligent automation. Collaborate with hyperscalers and partners (AWS, Azure, GCP, Databricks, Snowflake, NVIDIA) on technical accelerators, performance benchmarks, and reference implementations. Stay ahead of emerging architectures (multi-agent, RAG 2.0, synthetic data generation, self-improving systems) and translate them into actionable engineering strategies. Qualifications 12+ years in AI/ML, data engineering, or large-scale distributed systems. Deep hands-on expertise in: Foundation models (LLMs, multimodal, vision, speech, embeddings) Model finetuning, training, inference optimization, evaluation MLOps/LLMOps workflows and ML engineering best practices Vector databases, knowledge graphs, retrieval systems Strong experience with cloud-native architectures (AWS, Azure, GCP) and data platforms (Databricks, Snowflake, BigQuery, Lakehouse). Demonstrated ability to design complex AI systems that operate reliably at scale. Experience influencing senior technology leaders through architectural clarity and technical depth. Strong documentation, architecture storytelling, and ability to simplify complex technical concepts for varied audiences. Track record of publications, open-source contributions, patents, technical talks, or recognized technical leadership is a strong plus. Ideal Persona A deep technologist who: Operates at the intersection of AI architecture, systems engineering, and scientific rigor. Design AI architectures, review complex pipelines, and still communicate effectively with CTO/CDO leaders. Leads through engineering excellence, credibility, and technical mentorship. Builds systems that learn continuously, scale reliably, and deliver measurable impact. Additional Information Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: + We are seeking highly skilled professionals to lead the design and implementation of advanced Generative AI and Agentic AI solutions. + The ideal candidate will have hands-on experience with Semantic Kernel, Azure AI Foundry, and modern AI orchestration frameworks to build intelligent, autonomous agents that integrate seamlessly with enterprise systems. + Architect and develop agentic AI workflows leveraging Semantic Kernel for prompt engineering, memory, and skill orchestration. + Build and deploy AI agents using Azure AI Foundry, integrating multi-modal models and tools. + Design scalable solutions for Retrieval-Augmented Generation (RAG), Graph RAG, and knowledge-grounded AI. + Collaborate with cross-functional teams to embed AI capabilities into applications and cloud platforms. + Ensure security, compliance, and performance optimization of AI solutions. Basic Qualifications: + 6 yrs of work experience + 4 years in AI ML development, with at least 2 years in Generative AI and agentic systems + Expertise in Semantic Kernel skills, planners, connectors and Azure AI Foundry agents, orchestration + Strong proficiency in Python, REST APIs, and cloud native architectures + Experience with prompt engineering, and tool integration + Familiarity with AppSec and secure AI deployment practices + High School Diploma or GED Preferred Qualifications: + Knowledge of Azure OpenAI , LangChain , or similar frameworks + Experience in enterprise AI adoption and MLOps Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************************************** Role Location California - $58.00 - $68.00/hour Cleveland - $58.00 - $68.00/hour Colorado - $58.00 - $68.00/hour District of Columbia - $58.00 - $68.00/hour Illinois - $58.00 - $68.00/hour Maryland - $58.00 - $68.00/hour Massachusetts - $58.00 - $68.00/hour Minnesota - $58.00 - $68.00/hour New Jersey/New York - $58.00 - $68.00/hour Washington - $58.00 - $68.00/hour Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

As the Agent Experience Lead, you will serve as the vital Rocket Close liaison responsible for business development and ensuring the success and satisfaction of agents, support members, and customers in the San Antonio/Austin market. You will build strategic relationships, drive new title and escrow business growth, and deliver exceptional customer experiences while representing our products and services with passion and expertise. About the role Attend and represent Rocket Close at Redfin team meetings to advocate for our product while understanding agent and client feedback Take a leadership role in and assume responsibility for establishing relationships with assigned accounts Develop long term strategic account plans which identify potential business opportunities, define goals and resource requirements Demonstrate personal initiative to understand changing market conditions, assigned client segment(s) and evolving client needs Triage and address any possible issues at closing Be a source for agents and customers navigating our platform used for closings in Qualia, as well as Earnnest Participate in new market launch responsibilities including training Agents, Transaction Coordinators and Listing Coordinators About you Minimum Qualifications 3-5 years of experience in Real Estate, Title & Settlement or Sales Current Title Producer's License or Sales License (if required per state) Strong communication skills with concise, effective messaging. Along with the ability to advocate effectively and coach team members Ability to quickly assess personalities and needs of all parties at settlement Entrepreneurial mindset with excellent problem-solving abilities Comfortable with technology and able to learn new programs quickly Preferred Qualifications Exceptional organizational skills and attention to detail Advanced multi-tasking abilities in fast-paced, changing environments Enthusiastic with a genuine commitment to putting clients' needs first. Fun, caring, and humble attitude with willingness to pitch in wherever needed What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at ************************** . Colorado, New York City, Jersey City, California, D.C and Washington Candidates only: the compensation for this position is $80,000.00-$154,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here . The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the California Fair Chance Act.

MARA is redefining the future of sovereign, energy-aware AI infrastructure. We're building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. MARA is seeking a Principal Application Security Engineer to lead the design and execution of our product security strategy across AI initiatives. This role sits at the intersection of security architecture, threat modeling, and applied AI, driving security-by-design practices that scale across development, infrastructure, and product lifecycles. The Principal Application Security Engineer will define frameworks, tools, and training that enable engineering teams to build secure, privacy-aware, and reliable AI-driven products. The ideal candidate combines deep experience in application security with a pioneering mindset around AI threat modeling, secure SDLC, and Responsible AI (RAI) implementation. ESSENTIAL DUTIES AND RESPONSIBILITIES Lead development and implementation of AI Product Security program ensuring alignment with regulatory, privacy, and Responsible AI standards. Build and maintain security process (threat modeling, code review, pen-testing, continuous security validation) for both traditional and AI-enabled applications. Define and maintain framework of AI security controls, including reference threat models for LLM-based systems, prompt-injection mitigation, model supply-chain security, and data-handling controls. Collaborate with engineering and ML teams to design secure architectures for AI pipelines, agentic systems, and inference workflows. Develop and deploy AI-aware security automation tools (scanning, vulnerability prioritization, remediation) Drive security education and awareness, conducting workshops and learning programs for engineers, product managers, and executives. Partner with clients and internal stakeholders to perform deep-dive assessments, translate findings into actionable roadmaps, and influence product security transformations. Lead internal and external penetration-testing coordination, ensuring effective remediation and security ownership across delivery units. Represent the company externally at conferences and working groups (e.g., OWASP, CSA, NIST) to influence industry best practices around GenAI security. QUALIFICATIONS 8+ years of experience in application security or secure software architecture, including leadership or mentoring roles. Expertise in threat modeling, secure SDLC, and security automation across cloud-native and AI-driven environments. Proven success building or scaling products security programs Familiarity with emerging AI threats such as prompt injection, model exfiltration, LLM misalignment, etc. Experience with security tooling (42Crunch, BlackDuck, Fortify, SonarQube, Wiz, Prisma Cloud, BurSuite Sysdig, NowSecure, or similar) and modern CI/CD integration. PREFERRED EXPERIENCE Background in HPC, ML infrastructure, or sovereign/regulated environments. Familiarity with energy-aware computing, modular data centers, or ESG-driven infrastructure design. Experience collaborating with European and global engineering partners. Strong communicator who can bridge engineering, business, and vendor ecosystems seamlessly. Strong understanding of API security within enterprise ecosystems, including understanding of OAuth, OIDC, and SAML Practical experience in AI/ML pipelines and security for LLM applications Excellent communication and leadership skills; demonstrated ability to influence engineering and executive stakeholders. CSSLP certification or equivalent (CISSP, CISM) preferred.

Department Sales Employment Type Full Time Location Columbus - Livingston, OH Workplace type Onsite Compensation $21.00 / hour Reporting To General Manager The daily grind: You'd be a great fit if: Benefits: About Terrasana Terrasana Cannabis Co. is an Ohio-based medical marijuana company. We serve medical cannabis patients with dispensary locations across the state, including Columbus, Cleveland, Fremont, and Springfield dispensaries. With a commitment to cannabis education, we offer exceptional patient care through clinical expertise combined with natural marijuana treatment options. Terrasana's dispensaries are also committed to providing a safe and welcoming environment and offering only the highest quality cannabis products. Terrasana prides itself on being an EEO employer. Our goal is to recruit and retain the most talented individuals from a diverse pool of candidates. Diverse minds, backgrounds, and skills mark our inclusive culture. We strongly encourage all interested applicants to apply.

We offer you the opportunity to put your passion and your God given talents and abilities to use. Our goal is to attract and develop skilled, called, and passionate people to impact our devoted customers and our team. We want to attract immensely creative employees with an ability to inspire, motivate, and challenge others. For more information, see ********************** Our People Strategy We believe in a people strategy to be the fundamental driver of our organization. While we can never reach a perfect organizational model, we can certainly strive towards it in our daily efforts and mission. With that vision comes a focus of key initiatives we are working on, listed here, with the indicators of what it should look like as we approach: Shared Direction: A collective understanding of what the organization stands for, where it is going, and how we will get there. Indicators: a clear inspiring vision, well-executed strategies, clear aligned goals. Authentic Values: Deeply held principles guiding all decisions and relationships and reflected in the conduct of everyone at all times. Indicators: high levels of trust and communications, uncompromising integrity and ethics, socially responsible practices. Productive Relationships: Open, collaborative relationships that recognize and honor the commitments that people make to themselves, each other, their work, and the organization. Indicators: respect for all individuals, effective problem solving and decision-making, clear accountability, effective teamwork at all levels. Liberating Processes: Flexible structures, processes, and technologies that allow people to do their best work and to collaborate effectively across boundaries. Indicators: clear organizational design, collective knowledge, the right tools and technologies, the right people for the right jobs. Outcome Learning: Results-focused learning that strengthens individual and organizational capacity to cope with the present and define the future. Indicators: continuous teaching and learning, effective knowledge and skills development, leadership development at all levels. Motivating Metrics: Fair, meaningful performance requirements, measure and rewards that reinforce high performance and manage poor performance. Indicators: clear and energizing performance requirements, relevant work measures, differentiated rewards. Our Vision - What We Want to Do Continuously improving the built environment for the glory of God. Our Mission - Why We Exist Demonstrating the love of Jesus Christ through empowering excellent AEC professionals to provide superior service. Our Values - How We Will Accomplish This Mission Our Core Values are the tools we use and the behaviors we exhibit as Employees of Above Group. They describe how we work together to achieve this special place we're developing and how they make us uniquely successful. Christian Values - We demonstrate humility, honesty, integrity, respect, kindness, and a sense of social responsibility. Uncompromising Quality - We provide excellent results all the time, every time. Buffalo - We take initiative running toward and owning challenges. Extreme Team - We are accountable to each other to continuously grow and succeed. Senior Electrical Engineer (SEE) Senior Project Manager (SPM) The Position The Senior Electrical Engineer (SEE) Senior Project Manager (SPM) for Above Group shall contribute and support leadership of Power, Lighting, and Low Voltage Engineering in addition to Project Management efforts of cross discipline Mechanical, Electrical, Plumbing, and Fire Protection (MEP/FP) projects for the firm. The SEE SPM shall be a graduated engineer from an ABET accredited institution who shall directly contribute to the Firm and its success through engineering, design, technical leadership, and project management efforts. The SEE SPM is also responsible for contributing to the growth of the team by leading and mentoring subordinate staff in expanding their capabilities and contributions. The SEE SPM shall execute design duties as required to ensure quality products. The SEE SPM shall be an Electrical Engineer registered as a Professional Engineer (PE) at a minimum. Additional credentials are encouraged and desired. The SEE SPM is an Electrical Engineer by education and experience, with the following characteristics: Ability to combine personal judgment with project information and knowledge of codes and standards to implement design criteria. Has expertise in Power, Lighting, Grounding, Lightning Protection, Fire Alarm, Communications and Electronic Security systems. Experience with Medium Voltage Equipment systems a plus. Priority given to experience with healthcare facilities, central plant infrastructure (generator plants and substations), and aerospace facilities Demonstrates proficiency with load demand calculations, one-line distribution development, load flow, short-circuit analysis and arc flash hazard analysis. Experience with SKM Powertools for Windows, Visual (or AGI32) and other applicable tools. Ability to work well in a team environment as well as an individual. Communicates effectively with individuals in the organization. Capable of interpreting information set forth in a Scope of Work, Basis of Design, field surveys and code research. Project involvement: Engineer of record from concept phase, through construction documents and construction administration. Directs and mentors subordinate staff of their responsibilities on a daily basis. The SEE SPM is an Electrical Designer: Basic knowledge of NEC and electrical calculations Designs layout of lighting, lighting controls, receptacles, equipment rooms, and equipment connections in coordination with team members within the discipline, as well as project team members in other disciplines. Prepares panelboard and equipment schedules Proficient with design drawing software including Revit and AutoCAD. Performs system calculations. Sizes and selects system components. Reviews shop drawing submittals, and travels to job sites to perform field verification. Produces field reports and punch lists. The SEE SPM develops organizational skills including technical writing and time management: Uses excellent writing skills to author basis of design (BOD) narratives, design criteria documents, feasibility studies, condition assessment reports, engineering studies and reports, and other high quality highly technical written documents as needed. Uses excellent writing skills to edit design specifications; respond to Requests for Information (RFIs) incorporating information from project documents, specifications, Reviews shop drawings and submittals to evaluate compliance with applicable codes, project specifications, and design documents and criteria. Reads relevant project correspondence and maintains project design files. The SEE SPM provides Project Management for MEP/FP engineering and design projects: Responsible for all projects assigned. Maintains open lines of communication with clients. Manages client expectations. Manages team budgets as assigned. Manages and coordinates project schedules and due dates. Prepares client project presentations, studies, and reports. Manages weekly design team assignments. Assists in developing project staffing plans. Mentors senior- and junior-level staff. The SEE SPM is a business developer and a marketer: Secures new sources of viable business and will be required to take the company into previously undeveloped areas of the industry. Develops new business relationships, generates and negotiates new revenue streams for the company. Required to use business contacts and relationships to ensure that the company is always aware of upcoming projects. Requires networking to enhance the company network. Promotes and maintains a high level of visibility for Company's services and brand and helps coordinate public relations related efforts. Presents the company to potential clients using different types of communication; including face to face meetings, presentations, telephone calls, emails etc. Completes pre-qualification procedures with potential clients and consultants. Acts as a representative of the company at key exhibitions, conferences and networking events. Adopts a team approach; works with others in pursuing common goals. Maintains high level relationships with the Company's existing clients and partners. Key Characteristics of the Ideal Senior Electrical Engineer (SEE) Called - A strong sense of knowing who you are (i.e., gifts, talents, competencies) and how you are to spend your life. We fulfill our calling by being excellent at what God designed us to be and we diligently pursue it. Practice Servant Leadership- Leaders at Above Group are called to serve. We realize that effective leadership starts on the inside. We demonstrate that we are willing to do what others are unwilling to do. We will practice a Servant Leadership character that enriches the lives of others. A Commitment to Above Group- An understanding of and a commitment to the special purpose, mission, and beliefs of Above Group and will have a value system compatible with our values. People Abilities- Deep interest and care for people with an understanding of their primary interests, aims, strengths, and motivations. Working with Customers- A demonstrated ability to accomplish results through collaboration with and development of strong relationships with our customers. Organizational Skills- An ability to organize his/her own thoughts and work, while continually growing a results-oriented team. Ability to win the confidence of colleagues and office staff that demonstrates a well-functioning department. Insight and Strategy- A focused sense of strategy, (i.e., possessing the knowledge and sixth sense for how to implement our mutual goals). The ability to set realistic objectives and achieve them. A Sense of Timing- An intuitive sense of timing and appropriateness in relation to people and projects. Work Capacity- Sufficient physical and emotional energy to deliver the results necessary to advance our mission. Self-Starter- Creates ideas and follow through without prodding. (Balanced with judgment and knowing when and how to ask for assistance and counsel). Enthusiasm- A heartfelt passion for the work we do, which displays optimism - but not overselling and overstating. Character - A level of impeccable integrity that permeates others. Passion- The Above Group Vision will be irresistible to the right person. People skills, organizational and communication abilities must be truly remarkable, this person will be excellent at vision-casting in a manner that inspires others to join with us and develop solid relationships. Minimum Requirements The Senior Electrical Engineer shall meet the following minimum requirements: Minimum of 10 years' experience (post degree) working in a MEP Engineering Firm or AE Firm Bachelor's Degree in Electrical Engineering or Architectural Engineering Professional Engineering (PE) License Current/Active NCEES registration in good standing Previous experience in managing workflow for MEP/FP designers and engineers in the Healthcare or Science/Technology fields Operational Experience in REVIT Operational experience with Microsoft Projects Excellent Communication skills, both oral and written This is a 100% remote position. U.S. Citizen or Permanent Resident of the U.S.

The Sr. Manager, Electrical Engineering will be responsible for defining, standardizing, and advancing the methodologies, tools, and workflows used in the design and development of power electronics and electrical systems across Core Engineering. This role will be critical to ensuring consistency, quality, and scalability of electrical design practices across global teams. The position reports to the Senior Director, Core Engineering Services and collaborates closely with product development, simulation, compliance, and manufacturing engineering teams. This position will be based onsite at Vertiv's Westerville, OH campus location. Responsibilities: Lead the selection, deployment, and governance of electrical design tools and platforms (e.g., ECAD, simulation, schematic capture, wiring harness design). Define and maintain global standards for electrical system design processes, documentation, and validation workflows. Partner with product teams to ensure tools and processes align with evolving technology and business needs. Drive continuous improvement initiatives to enhance design efficiency, accuracy, and cross-functional collaboration. Serve as the subject matter expert for electrical design enablement, including training, onboarding, and best practices dissemination. Collaborate with IT and software vendors to manage tool licenses, upgrades, and integrations (e.g., with PLM or MCAD systems). Represent electrical engineering in cross-functional forums related to digital thread, design automation, and compliance readiness. Requirements: Bachelor's or Master's degree in Electrical Engineering or a related field. 10+ years of experience in electrical system design, with at least 3-5 years in a leadership or technical governance role. Deep understanding of power electronics, electrical distribution, and system-level design principles. Experience in design of infrastructure equipment for data centers or other high-reliability or mission-critical systems (e.g., industrial power, aerospace). Proven experience with ECAD tools (e.g., EPLAN, Creo Schematic), simulation platforms (e.g., SPICE, PLECS), and PLM systems (e.g., Oracle PD Cloud). Strong background in process development, tool deployment, and cross-functional collaboration. Familiarity with standards such as IEC, UL, or IEEE relevant to electrical system design. Exposure to global engineering operations and tool harmonization across regions. Strong communication and demonstrated change management skills. Strategic thinker with a bias for action and results. Passion for innovation and continuous improvement. Demonstrated ability to successfully manage multiple projects, including both planned development efforts and ongoing system and tool maintenance. Solid understanding of full product lifecycle management. A basic understanding of Lean and Six Sigma concepts is required, and formal DFx training or a Six Sigma Green Belt is advantageous. Demonstrated understanding of business operation is required, with demonstrated success in managing team and project budgets. Self-motivated, capable of working with minimal supervision and in a timely manner. Excellent interpersonal skills and the ability to communicate effectively in both written and spoken English. Willingness to travel as needed, both domestically and internationally. Travel commitments of up to 25% of business days may be required. Residence in (or willingness to relocate to) the Columbus, OH area is preferred. The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES • Customer Focus • Operational Excellence • High-Performance Culture • Innovation • Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First Mindset • Think Big and Execute • Lead by Example • Drive Continuous Improvement • Learn and Seek Out Development About Vertiv Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. 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