AI & Automation Engineer

Company: Technical Resources International, Inc.

Location: Bethesda, MD (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-11-04

About this role

Job Description

  • The AI and Automation Engineer designs, prototypes, builds, integrates, evaluates, and helps productionize AI-enabled and automation solutions that address defined business and project needs. Working within TRI’s AI and Digital Enablement capability, the AI and Automation Engineer translates qualified opportunities into working solutions using established AI models and services (focused on Azure/Foundry), agents, retrieval-augmented generation (RAG), workflow automation, data integration, and other appropriate technologies. The role emphasizes rapid experimentation, integration, and measurable evaluation, including recognizing when conventional automation or existing technology provides a better solution than AI.
  • This is an applied AI engineering role, not an AI research or model-development position. The AI and Automation Engineer is not expected to develop, train, or research new foundation models. Inste.ad, the engineer selects, configures, integrates, grounds, evaluates, and applies existing models and AI services within secure enterprise solutions. The engineer works closely with Business Liaisons, business SMEs, application developers, infrastructure, and security teams to move promising concepts from prototype through evaluation, pilot, and production. Current areas of emphasis include Microsoft Foundry and Azure AI services, RAG and enterprise knowledge solutions, AI agents, Power Platform automation, enterprise integration, and evaluation of solution quality, security, performance, cost, and business value. This aligns with TRI’s planned model in which AI Engineers build and evaluate solutions while leveraging reusable platform and architecture patterns rather than developing underlying AI models

Job Requirements

  • Software/application development experience, preferably Python plus API/integration development in C#.
  • Demonstrated experience building AI-enabled or automation solutions.
  • Understanding of generative AI, LLMs,...

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