Staff AI/ML Engineer: GenAI, Security & Pipelines

Lockheed Martin; Three Rivers (TX); Hybrid; USD 121,000 - 224,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) match

Flexible schedules

PTO & holidays

Job summary

Lockheed Martin in Texas seeks an engineer for the AI Strategy Acceleration portfolio to advance agentic AI across mission systems and support the technology development lifecycle from requirements through testing. You will ship platform features, design tool-calling and RAG pipelines, and drive secure, tested deployments.

You will work with LangGraph, CrewAI, Google ADK, AWS Strands, LangChain, and Pydantic AI, ensuring production-grade code and robust CI/CD pipelines in a security-conscious

Qualifications

• 8+ years of progressive software development experience with strong Python engineering skills (async patterns, packaging, type systems, cross-platform compatibility) and hands-on production system delivery.
• Experience with LLMs, Generative AI, or agentic AI frameworks (e.g., LangGraph, CrewAI, Google ADK, AWS Strands) with understanding of tool-calling, RAG, and autonomous workflow patterns.
• Experience with containerized development and deployment (e.g., Docker, Kubernetes).
• US Citizenship is 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
• Experience designing and maintaining test automation frameworks (e.g., unit, integration, regression, e2e) with proven ability to improve coverage, reliability, and test infrastructure
• Experience maintaining and improving CI/CD pipelines (e.g., GitLab CI) including automated testing, security scanning, release automation, enterprise packaging (Nexus/Harbor), and semantic versioning
• Production experience building agentic AI systems: tool-calling orchestration, RAG pipelines, multi-step autonomous workflows, agent evaluation and testing patterns
• Information security, compliance, and classified environments: CIS benchmarks, security control frameworks, ATO artifacts, air-gapped deployment and offline packaging
• Cloud platform experience (e.g., AWS, OpenShift, EKS) including deployment, scaling, and operational ownership of containerized services
• Advanced DevSecOps and secure coding practices: security scanning (SAST/DAST/container), SBOM generation, vulnerability remediation, OAuth2/SSO/MFA, OWASP top 10
• Demonstrated use of GenAI coding assistants to accelerate development and increase quality
• Full-stack development: Python web frameworks (Django, Flask) or React/TypeScript frontend + Python API backend for developer portals or internal tools
• OpenTelemetry instrumentation for AI/agent systems: metrics, tracing, logging, and integration with observability platforms (Prometheus, Grafana, Langfuse)
• Master's degree in Computer Science, Information Technology, Engineering, AI/ML, or related field

Responsibilities

• Hit the ground running - ship platform features, pipeline improvements, and security enhancements fast in rapid 4-day sprint cycles
• Design and implement agentic AI systems (tool-calling, RAG pipelines, autonomous workflows) using frameworks such as LangGraph, CrewAI, AWS Strands, Google ADK, Pydantic AI, and LangChain
• Drive security practices including vulnerability remediation, authentication systems, and compliance artifacts - surfacing risks and recommendations to technical leadership
• Maintain and improve test automation and regression frameworks
• Maintain and evolve the CI/CD pipeline (GitLab CI) including security scanning, container builds, and package publishing
• Contribute across the full platform as needed - new features, tooling, developer experience, metrics, and other priorities as the product evolves
• Execute on architectural direction from senior technical leadership while contributing ideas and improvements

Skills

Python engineering

Async patterns

Cross-platform compatibility

GenAI frameworks

Tool-calling

RAG pipelines

Autonomous workflows

Docker

Kubernetes

GitLab CI

Security scanning

Semantic versioning

Agent evaluation

AWS

OpenShift

EKS

DevSecOps

Secure coding

Django

Flask

React/TypeScript

OpenTelemetry

Education

Bachelor's degree in Computer Science, IT, Engineering, AI/ML, or related field

Master's degree in Computer Science, IT, Engineering, AI/ML, or related field

Tools

LangGraph

CrewAI

Google ADK

AWS Strands

Pydantic AI

LangChain

Docker

Kubernetes

Job description

Lockheed Martin in Texas seeks an engineer for the AI Strategy Acceleration portfolio to advance agentic AI across mission systems and support the technology development lifecycle from requirements through testing. You will ship platform features, design tool-calling and RAG pipelines, and drive secure, tested deployments.

You will work with LangGraph, CrewAI, Google ADK, AWS Strands, LangChain, and Pydantic AI, ensuring production-grade code and robust CI/CD pipelines in a security-conscious