Architects autonomous AI components and platforms from concept through deployment. Defines hardware, software, and systems architecture; translates customer needs into technical specifications; establishes design standards; and leads architecture reviews. Requires production experience with LLMs, VLMs, generative AI, agentic workflows, cloud platforms, and containerization, plus technical leadership across multidisciplinary teams. Preferred experience includes Python, React, TypeScript, MCP, agent frameworks, databases, APIs, GenAI coding assistants, mentoring, and systems engineering processes.
Standard Job Description
Defines the architecture of autonomous components of LM products or platforms from concept to specifications, recommending and making technical decisions on techniques, and solutions, and how solutions will be integrated and deployed with other systems to meet customer requirements.Provides architectural guidance on autonomous systems on or across project team(s); Defines hardware, software, and systems architecture for (significant components of) autonomous product(s) and platform(s); Interfaces with stakeholders and translates customer requirements into high level technical specifications; Determines technical standards and requirements for software, hardware/tools, and platforms; Participates in architecture reviews and ensures that technical standards and requirements address user needs and constraints; Develops, analyzes, documents technical specifications, and decides on components and design of software, hardware, and system(s); Recommends alternatives to meet or enhance ability to meet requirements for human-machine and/or machine-machine teaming; Defines, communicates, and enforces design standards for autonomy-related components
Basic Qualifications
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
- Strong communication skills with the ability to influence engineering teams, program leadership, executives, and customers.
- Demonstrated experience providing technical leadership across multiple teams or a portfolio of multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, full stack software engineering, or a related discipline.
- Demonstrated experience architecting and delivering AI-powered production systems — including deep hands-on work with LLMs, VLMs, and/or Generative AI
- Experience with agentic workflows and production-level LLM tool-calling — architecting, deploying, and operating them at enterprise scale
- Experienced in Agile development methodologies and version control systems (e.g., Git)
- Experience architecting applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS)
- Contributes to the development of new concepts, techniques, and standards; considered an expert and demonstrates full knowledge of industry and company practices across related disciplines
Desired Skills
- Experience mentoring engineers and building technical leadership across teams
- Ability to set technical strategy, manage cross-team technical risks and dependencies
- Experience leading major technical initiatives end-to-end through (planning to delivery).
- Expert proficiency in Python, with production experience in React and TypeScript (able to set standards for others)
- Deep knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns)
- Experience designing data architectures on relational and graph databases
- Experience defining strategy and standards for RESTful and GraphQL API development and integration
- Regular and strategic use of GenAI coding assistants including shaping how teams adopt them
- Familiarity with ISO/IEC 15288 systems-engineering processes
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $185400.00 - $344400.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $166900.00 - $309900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $148300.00 - $275500.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $133500.00 - $247900.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Similar Jobs
Artificial Intelligence • Software
Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.
Top Skills:
DbtSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Plan and manage data center capacity across global sites, including power, space, cooling, racks, fiber ports, and cross-connects. Maintain allocation records, forecasting models, dashboards, and DCIM data. Translate infrastructure demand into rack-level deployment plans, identify capacity risks, support colo expansions, reconcile physical and system inventories, and partner with operations, engineering, supply chain, and vendors. Contribute to automation and AI-enabled workflow improvements.
Top Skills:
AssetdbDcimDevice42Google SheetsGrafanaIdfIpamMdfExcelNlytePduPower BIRppSunbirdTableauUps
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead cross-functional initiatives that enable AI models, coding assistants, and agentic workflows across the software development life cycle. Manage model onboarding, evaluation, approvals, governance, security reviews, adoption metrics, and vendor relationships. Coordinate Engineering, Security, Data Science, Legal, and IT stakeholders while driving communication, risk resolution, change management, training, and process improvements.
Top Skills:
Agent FrameworksAgent PlatformsAgentic WorkflowsAi Coding AssistantsAi ModelsCi/CdLlmsModel EvaluationPrompt ManagementSoftware Development Life Cycle (Sdlc)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
