Artificial Intelligence (AI) Software Engineer

Basic Qualifications

Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience. CLEARANCE REQUIREMENTS:

Ability to obtain a Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position: What You'll Own:* Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source). * Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning — embeddings, vectorization, knowledge graphs. * API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources. * Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance. * Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use — not demos.

What You Won't Own

* Platform architecture decisions — that's the Lead Architect's job * Project coordination, scheduling, or status reporting * Vendor evaluations or tool selection committees

What Makes This Role Different

* You will build production AI systems for a 10,000-person enterprise — not prototypes, not demos, not proofs of concept * You will work in a multi-model environment (