Generative AI Deployment Engineer

Lockheed Martin•Manassas, VA

20h•Hybrid

About The Position

In this exciting role, you will have the opportunity to collaborate with industry-leading design professionals and contribute to groundbreaking projects. Be a part of the Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team. Work with our team as we develop cutting edge tools for our Navy customer through the integration of Artificial Intelligence and Machine Learning capabilities into tactical systems.

Requirements

Bachelor's or Master's Degree in Software Engineering, Computer Science, Machine Learning, or related STEM degree
1 year of relevant experience
Experience with designing, developing, and/or maintaining AI agents and large language models
Familiarity with retrieval augmented generation (RAG) in AI agent workflows
Familiarity with open source agentic libraries and tools (LangChain, MCP, etc)
Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab

Nice To Haves

Experience building Retrieval Augmented Generation (RAG) tools on custom datasets
Experience with developing, deploying, and maintaining MCP servers
Interest in optimizing AI agents and LLMs to drive deployment solutions
Experience with cloud, containers & modern AI tools (Docker, Kubernetes, etc)
Experience with production ML and High Performance Compute Development
Experience building and deploying tools for air-gapped and/or limited compute environments
Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers
Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the existing approach to solutions
Comfortable working in a fast paced and dynamic multi-disciplinary environment

Responsibilities

Development and integration of Generative AI tools into tactical and development systems
Interfacing with developers, program leadership, and customers to develop tools for specific use cases
Adapting AI tools for use in air gapped environments
Upgrading locally-hosted Large Language Models and the associated tools that leverage the LLM
Interfacing with users of GenAI tools to provide technical support and solicit feedback
Building data pipelines to ingest data from a variety of sources