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# Agentic AI Machine Learning Engineer

- **Company:** Seneca Resources
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Machine Learning, Systems Integration, Large Language Models, Multi-Agent Systems, Machine Learning Operations, Virtual Agents, Docker
- **Published:** September 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9166463/agentic-ai-machine-learning-engineer

## About the Role

3+ years building production ML solutions including LLMs, agents, or automation frameworks
Hands-on experience with agent frameworks: LangChain, LangGraph, PydanticAI, or LlamaIndex
Cloud experience in AWS, Azure, or GCP (AWS preferred)
Docker and Kubernetes at the builder level, not user level
TS/SCI clearance
Bachelor's degree

## Description

Designing and building production-grade agentic AI systems for cyber and intel missions
Developing reusable agent blueprints to scale agentic delivery across client environments
Integrating LLMs and AI agents with APIs, cloud platforms, and databases
Building MLOps pipelines and observation layers for stakeholder visibility
Evaluating architectural tradeoffs and owning integrations end-to-end
Contributing to counter-AI and defensive cyber use cases