AI/ML Engineer, Generative Tools for Tactical Systems

Lockheed Martin; Manassas (VA); On-site; USD 91,000 - 169,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible work arrangements

401(k) match

Paid time off

Holidays

Parental Leave

Employee Assistance Program

Flexible Spending Accounts

Life Insurance

Short-Term Disability

Long-Term Disability

Job summary

Lockheed Martin in Manassas, Virginia, is seeking an AI/ML engineer to develop and integrate Generative AI tools for tactical and development systems. You will collaborate with design professionals and customers to deliver use-case solutions.

Required are a STEM degree and 1 year of AI/ML experience, with familiarity in RAG, LangChain, and MCP. Onsite work in a dynamic, multi-disciplinary lab environment is expected.

Qualifications

• Bachelor's or Master's in a software/CS/ML STEM field.
• 1 year of relevant experience with AI agents and LLMs.
• Familiarity with RAG and open-source agent libraries (LangChain, MCP).

Responsibilities

• Develop and integrate Generative AI tools into tactical and development systems.
• Interface with developers, leadership, and customers to build tools for use cases.
• Adapt AI tools for air-gapped environments.
• Upgrade locally-hosted LLMs and related tooling.
• Interface with GenAI tool users for support and feedback.
• Build data pipelines to ingest data from various sources.

Skills

Innovative mindset

Attention to detail

Strong communication

Education

Bachelor's or Master's Degree in Software Engineering, Computer Science, Machine Learning, or related STEM degree

Tools

LangChain

MCP

Docker

Kubernetes

Job description

Lockheed Martin in Manassas, Virginia, is seeking an AI/ML engineer to develop and integrate Generative AI tools for tactical and development systems. You will collaborate with design professionals and customers to deliver use-case solutions.

Required are a STEM degree and 1 year of AI/ML experience, with familiarity in RAG, LangChain, and MCP. Onsite work in a dynamic, multi-disciplinary lab environment is expected.