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Agentic AI Engineer

SNVC, LC
Email

Primary Responsibilities:

  • Design, develop, and drive innovative agentic AI projects supporting national security programs and missions.
  • Build reusable multi-agent orchestration patterns using frameworks such as LangGraph, Strands, or AWS Bedrock AgentCore.
  • Define and maintain the tool and service contracts agents call, including integration via emerging agentic protocols (MCP, A2A).
  • Develop a shared evaluation harness for agent behavior, including trace analysis, regression testing, and quality metrics for non-deterministic outputs.
  • Implement guardrails and control patterns: human-in-the-loop checkpoints, output validation, graceful failure handling, and cost and latency budgets.
  • Partner with mission stakeholders and SMEs to translate operational workflows into agent graphs and tool decompositions.
  • Perform prompt engineering, context design, and model selection against the authorized model inventory available in accredited environments.
  • Contribute reusable components to a shared agent framework so that new mission agents can be stood up quickly and consistently.
  • Interface with stakeholders to ensure deliverables meet organizational needs.
  • Stay up to date with agentic AI research and emerging technologies relevant to mission needs.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, Mathematics, or a related field.
  • 4+ years of hands-on experience in software and/or AI systems development.
  • Active Secret clearance, with the ability to obtain and maintain a Top Secret clearance.
  • Strong proficiency in Python.
  • Hands-on experience building LLM-based applications, with at least one agent, RAG, or tool-calling system delivered.
  • Working knowledge of at least one agent orchestration framework (LangGraph, Strands, Bedrock AgentCore, AutoGen, LlamaIndex, or comparable).
  • Experience with API and tool integration, asynchronous workflow design, and state management.
  • Ability to define, defend, and iterate on an evaluation approach for systems that do not produce deterministic output.
  • Familiarity with cloud platforms (AWS preferred) and container technologies (Docker, Kubernetes).
  • Strong collaboration and communication skills, including the ability to work directly with non-technical mission experts.

Preferred Qualifications:

  • Active Top Secret clearance.
  • Experience working in national security or defense environments.
  • Familiarity with classified environments and secure data handling practices.
  • Familiarity with agentic interoperability protocols such as MCP, A2A, or AGNTCY.
  • Experience with multimodal models applied to images, screenshots, or documents.
  • Some exposure to cyber security work (DoD cyber operations, SOC, or security engineering), given the overall focus of the program.
  • Experience with natural language processing (NLP), computer vision, or deep learning.
  • Knowledge of tools like MLflow, Kubeflow, or Apache Airflow for model lifecycle management.