The primary focus is engineering backend systems for an agentic AI learning platform, involving the design and implementation of agent orchestration, memory, and tool use via scalable APIs and services. Responsibilities also include shaping LLM/agent evaluation strategies and building foundations for production readiness like observability and safe deployments.

The AI/ML Subject Matter Expert will define and execute the AI/ML strategy for the Case Management Modernization (CMM) program, providing technical leadership for integrating AI/ML capabilities into software development initiatives. This role involves leading the architecture, deployment, and lifecycle management of ML models while ensuring adherence to federal Responsible AI principles and MLOps best practices.

The AI Engineer will collaborate with Agentic AI Scientists to build and deploy AI agents aimed at automating, optimizing labor-intensive workflows, and empowering the human workforce with new capabilities. Responsibilities include creating software for AI agent communication, connecting models to external services via APIs, testing, debugging, deployment, monitoring, and ensuring reliable execution of agentic AI systems.

The role involves designing and maintaining context pipelines for LLM inputs, defining context schemas, and architecting Retrieval-Augmented Generation (RAG) systems. Responsibilities also include crafting, testing, and optimizing system prompts while building evaluation frameworks to measure prompt quality and mitigate failure modes.