AI Research Engineering - Operations (Level 2)

Lockheed Martin•Grand Prairie, TX

1d•Remote

About The Position

As the AI Research Engineering - Operations (Level 2), you will be responsible for delivering production-grade agentic AI tools and LLM-powered pipelines that solve real operational challenges. Your responsibilities will include designing, developing, and deploying agentic AI pipelines and LLM-powered tools that automate complex analytical and decision-support tasks. You will engage directly with program and operations teams to identify pain points and define AI solution requirements. You will participate in all phases of the system development lifecycle—from requirements generation to integration and deployment. You will integrate LLM frameworks (e.g., LangChain, Langflow, HuggingFace, OpenAI API) with internal data sources, systems, and enterprise APIs. You will also build and maintain RESTful API services to expose AI capabilities as reusable tools across teams and programs.

Requirements

Bachelor's Degree in Engineering, Computer Science, Data Science, or other related discipline
Proficiency in Python, including experience with ML and data libraries (e.g., Pandas, NumPy, Scikitlearn, TensorFlow OR PyTorch)
Demonstrated experience building LLM-integrated applications or agentic AI pipelines (e.g., LangChain, Langflow, HuggingFace Transformers OR OpenAI API)
Experience designing and consuming RESTful APIs
Strong analytical and communication skills; ability to translate ambiguous operational problems into structured technical requirements
MUST BE A U.S. CITIZEN
Must be able to obtain a Secret clearance

Nice To Haves

Master's Degree in a related discipline (e.g., Information & Data Science, Computer Science, Systems Engineering)
Experience working within defense manufacturing, supply chain, or quality operations
Experience in applied research and presenting research findings to diverse audiences
Experience with rapid prototyping and iterative development in ambiguous, fast-moving environments
Experience leading or mentoring small technical teams or cross-functional working groups
Lean Six Sigma certification or equivalent process improvement background
Active Secret clearance or higher

Responsibilities

Design, develop, and deploy agentic AI pipelines and LLM-powered tools that automate complex analytical and decision-support tasks.
Engage directly with program and operations teams to identify pain points and define AI solution requirements.
Participate in all phases of the system development lifecycle—from requirements generation to integration and deployment.
Integrate LLM frameworks (e.g., LangChain, Langflow, HuggingFace, OpenAI API) with internal data sources, systems, and enterprise APIs.
Build and maintain RESTful API services to expose AI capabilities as reusable tools across teams and programs.