AI Full Stack Engineer (Info Retrieval)

Description Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting‑edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change. What You Will Be Doing In this role you will work closely with a team of experts in AI, software engineering, and systems development to develop innovative solutions that support the organization’s goals and objectives for information retrieval. You will contribute to developing solutions that inform data‑driven decision making, architect, deploy, and support enterprise‑scaled services hosted on Cloud and on‑premise technologies, and mentor teammates while making meaningful contributions to the team’s efforts. Who You Are You are a motivated and enthusiastic AI/ML engineer/full‑stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self‑starter who executes work with little direction, develops solutions to complex problems that require ingenuity and creativity, and has a growth mindset. You are curious, eager to learn new technologies, and committed to developing your own skills and those of the team. You collaborate well, enjoy contributing to projects that drive innovation and improvement, and adapt to a dynamic, fast‑paced environment. Basic Qualifications Proven full‑stack software development experience; advanced/senior coding experience with Python (advanced proficiency, can mentor others) Demonstrated experience architecting and maintaining information retrieval and semantic discovery systems Proven experience with cloud platforms (e.g., AWS) deploying applications and containerization (e.g., Docker, Kubernetes) Experience handling the entire lifecycle of an AI‑powered application, managing cloud deployments and MLOps, and working with LLMs and/or Generative AI; demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON‑Schema) and building back‑end systems Experience maintaining and managing GitHub/GitLab projects with multiple developers Demonstrated strategic use of GenAI Coding Assistants US citizenship required due to program requirements and system access Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience) Desired Skills Practical experience with production‑level LLM tool‑calling workflows Proven design and delivery experience in API development and integration Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines) Data engineering experience including designing, deploying, and maintaining ETLs, and managing RDS Production‑level information retrieval and semantic data discovery development experience (e.g., vector databases, k‑NN, semantic search) Advanced proficiency in at least two additional languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages Expertise and strategic use of GenAI Coding Assistants Experience with agent development using various agentic tools and frameworks. Experience with autonomous workflows, agentic devOps, and the agentic development lifecycle Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders Experience in agile development methodologies and version control systems (e.g., Git) Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field Clearance Level None Salary California, Massachusetts, New York (major metropolitan areas): $152,900 – $264,960 annually. Other states: $132,900 – $234,370 annually. Salary is a general guideline only and may vary based on location, experience, education, and market factors. Benefits Medical, Dental, Vision, Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k) match, Flexible Spending Accounts, Employee Assistance Program, Education Assistance, Parental Leave, Paid Time Off, and Holidays. This position is incentive plan eligible. Equal Opportunity Employer Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. #J-18808-Ljbffr Lockheed Martin