Senior Agentic AI Engineer

Role: Senior Agentic AI Engineer Location: Dallas, Orlando and Stratford (On-site)

Position type: Contract

Key Responsibilities:
Pair Programming & Co-Building: Work shoulder-to-shoulder with internal data engineers to build target Lighthouse use cases using the Strands Agents SDK and Amazon Bedrock.
Agentic Architecture Mentoring: Conduct architectural reviews and training sessions on multi-agent orchestration (Swarm/Graph patterns), Agent SOP design, and deterministic execution via Steering Hooks. Tool Integration
Coaching: Teach the internal team how to build secure, ABAC compliant Model Context Protocol (MCP) servers that allow agents to query the existing Neptune RDF knowledge graph and Databricks Unity Catalog.
Observability Training: Implement and train the team on agent-specific observability tools (e.g., OpenTelemetry, Strands Evals) to monitor agent drift, hallucination rates, and decision accuracy in production.
Code Review & Best Practices: Establish the CI/CD pipelines, testing frameworks, and coding standards required for deploying autonomous agents in a highly regulated defense environment.

Required Skills & Qualifications:
8+ years of software engineering experience, with at least 2+ years focused specifically on building and deploying LLM-powered autonomous agents in production.
Agentic Framework Expertise: Deep, hands-on experience with agent frameworks (Strands Agents, LangGraph, AutoGen, or CrewAI) and multi-agent orchestration patterns.
Mentorship Pedigree: Proven experience as a technical lead, staff engineer, or dedicated coach who has successfully upskilled engineering teams in new technology paradigms.
Data to AI Bridge: Strong understanding of data engineering fundamentals (Databricks, Spark, Graph Databases) to effectively communicate with and transition the existing data team.
Defense Context: Familiarity with deploying AI in secure, air-gapped, or GovCloud environments (ITAR, CUI compliance) is highly preferred