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Standard Job Description
The AI Research & Enterprise Solutions (AIRES) team within Lockheed Martin’s Data & AI Enablement organization(D&Ae) creates tailored, production‑grade AI solutions that enable success across the corporation. In this role you will partner with internal stakeholders to translate complex requirements into end‑to‑end machine‑learning pipelines, integrate large‑language‑model capabilities, and drive research‑focused innovations that accelerate AI adoption enterprise‑wide. Your expertise in Python, the data‑science lifecycle, deep‑learning fundamentals, and emerging generative‑AI technologies will empower you to deliver high‑impact, mission‑critical solutions that generate measurable value for Lockheed Martin.
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related discipline.
Proficiency in Python – write clean, well‑documented code and explain your logic.
Knowledge of the data‑science lifecycle, big‑data concepts, deep‑learning fundamentals, and reinforcement‑learning ideas.
Basic awareness of Generative AI capabilities such as large‑language models (LLMs)
Demonstrated initiative and research mindset – comfortable navigating documentation, exploring new tools, and proposing ideas.
Strong problem‑solving and communication skills; able to work with internal customers to gather requirements and provide clear status updates.
Desired Skills
Experience with LLM frameworks or APIs (e.g., LangChain, OpenAI, Cohere).
Exposure to MLOps fundamentals: CI/CD pipelines, model versioning, monitoring, Docker/Kubernetes.
Knowledge‑graph or ontology work (SPARQL, embeddings, graph‑based feature engineering).
Familiarity with cloud platforms (AWS, Azure, GCP) and OpenShift.
Ability to quickly absorb new tools, applications, or approaches from documentation or public repositories and contribute ideas to the team.
Research‑oriented mindset – conducting industry/academic research, networking with peers, and surfacing innovative strategies.
Breadth of interest or experience with diverse data‑application domains (structured, unstructured, time‑series, sensor, etc.).
Experience with Git fundamentals (branching, merging, pull‑requests, basic workflow conventions).
Understanding of RESTful APIs and ability to integrate them into data pipelines.
Basic familiarity with Docker (or comparable container technology).
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): $122600.00 - $227600.00 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): $110300.00 - $204900.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
Full-time salary range (GEOZONE 3): $98100.00 - $182100.00 Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
Full-time salary range (GEOZONE 4): $88300.00 - $163900.00 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.