The Role
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.
Summary Generated by Built In
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.
Skills Required
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, a related technical field, or equivalent professional experience
- Strong communication skills with the ability to influence engineering teams, program leadership, executives, and customers
- Experience providing technical leadership across multiple teams or multidisciplinary engineering efforts
- Technical background in AI/ML, data science, full-stack software engineering, or a related discipline
- Experience architecting and delivering AI-powered production systems, including hands-on work with LLMs, VLMs, or generative AI
- Experience with agentic workflows and production-level LLM tool-calling at enterprise scale
- Experience with Agile development methodologies and version control systems such as Git
- Experience architecting applications on cloud-based platforms and using containerization technologies such as Harbor, Docker, Kubernetes, OpenShift, or AWS
- Expert knowledge of industry and company practices across related disciplines
- Experience mentoring engineers and building technical leadership across teams
- Ability to set technical strategy and manage cross-team technical risks and dependencies
- Experience leading major technical initiatives from planning through delivery
- Expert proficiency in Python and production experience with React and TypeScript
- Deep knowledge of Model Context Protocol and agentic frameworks such as AWS Strands Agents SDK
- Experience designing data architectures using relational and graph databases
- Experience defining strategy and standards for RESTful and GraphQL API development and integration
- Strategic use of generative AI coding assistants and experience shaping team adoption
- Familiarity with ISO/IEC 15288 systems-engineering processes
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
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The Company
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
