Standard Job Description
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 work effectively with engineering teams, program leadership, and customers.
- Demonstrated experience leading technical teams or multidisciplinary engineering efforts.
- Technical background in AI/ML, data science, software engineering, or a related discipline.
- Demonstrated experience designing and delivering AI-powered production systems — including hands-on work with LLMs and/or Generative AI
- Experience with agentic workflows and production-level LLM tool-calling — designing, deploying, and operating them at scale
- Experienced in agile development methodologies and version control systems (e.g., Git)
- Experience deploying applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS)
- Actively contributes to the development of new concepts and demonstrates full knowledge of industry and company practices with expertise in the field and related disciplines
Desired Skills
- Experience mentoring engineers and fostering a collaborative, high-performing team environment
- Ability to establish priorities, manage technical risks and dependencies, and align team execution with program objectives
- Experience guiding technical projects through planning, development, integration, testing, and delivery.
- Advanced proficiency in Python, with production experience in React and TypeScript (able to mentor others)
- Knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns)
- Practical experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
- Design and delivery experience in RESTful API development and integration
- Regular and strategic use of GenAI coding assistants (Claude Code, Cline, Windsurf, GitHub Copilot)
- Proficiency in additional languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages
- Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability (RVTM), and Architecture Decision Records (ADRs)
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): $150800.00 - $280000.00
- 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): $135700.00 - $251900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $120600.00 - $224000.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $108600.00 - $201600.00
- 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.