Applied AI Engineer
Fairbanks Morse Defense · United States · 2026-10-01
About this role
Mission-Driven. Honor-Bound. Fairbanks Morse Defense. What’s your calling? For the men and women of Fairbanks Morse Defense it’s the rapid and effective support of the fleets that entrust us to design, develop, and deliver the best naval power technology on the planet. We’re one of the nation’s leading marine defense contractors because of the highly trained and dedicated teams that provide reliable power systems, parts, and aftermarket services to the U.S. Navy, Coast Guard, Military Sealift Command, and Canadian Coast Guard. When you join Fairbanks Morse Defense, you join a legacy of commitment that spans 150 years. Fairbanks Morse Defense offers competitive benefits with a wide range of training and development opportunities. Our world-class teams are dedicated to helping every individual achieve their full potential. Discover what it’s like to be a part of the Fairbanks Morse Defense team here:
Summary Fairbanks Morse Defense builds and supports the engines and power systems that keep U.S. Navy and Coast Guard ships underway. Our Aftermarket business is launching a portfolio of AI, business intelligence, and process-automation projects under the Fairbanks Morse Operating System (FMOS) continuous improvement program, with one goal: help our people quote faster, serve customers better, and spend less time on manual data work. We are hiring an Applied AI Engineer to be the hands-on builder behind that portfolio. The idea pipeline is already prioritized and the program has active executive sponsorship. What we need is the engineer who turns those ideas into secure, production-grade AI solutions running in Microsoft Azure: an inside-sales assistant that answers questions from our technical manuals, an agent that reviews contracts and drafts quotes, automated pricing and PO checks, onboarding assistants for new hires, and more. This is a fully remote role. No security clearance is required. Why This Role
• Greenfield work with real users. You will design and ship from a prioritized backlog, not maintain someone else’s legacy system, and see your work used by sales, service, and engineering teams.
• Modern tools, encouraged. We expect you to build with AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot, or Codex, and to help set the standard for using them securely.
• Visible impact. You will work directly with executive sponsors and business leaders, and your results will be measured in hours saved, faster quotes, and better customer service.
• A mission that matters. Your solutions help keep U.S. naval vessels ready and supported.
Principal Duties and Responsibilities
• AI Solution Development & Deployment
◦ Partner with the continuous improvement lead, executive sponsors, and business subject-matter experts to turn prioritized ideas into deployed, measurable solutions, starting with the highest-impact, lowest-effort items. ◦ Design, build, and deploy AI agents using retrieval-augmented generation (RAG), tool use / function calling, and human-in-the-loop controls for use cases such as a technical-data inside-sales assistant, contract review and quoting, project-brief and after-action-review generation, and new-hire onboarding. ◦ Build document-processing and OCR workflows over technical manuals, contracts, Excel workbooks, and scanned content. ◦ Develop process-automation solutions, such as EDI-style order processing, PO review and compliance checks, price justification, and “like-parts” categorization, that remove manual effort and improve accuracy. ◦ Use AI-assisted coding tools to accelerate development and help establish best practices for their secure use across the team.
• Azure & Platform
◦ Deploy and operate solutions in Microsoft Azure, including App Service / Functions, storage, identity, and Azure OpenAI, within a government-cloud (GCC-High) tenant. ◦ Work with the IT team to connect solutions to existing systems through virtual networks, private endpoints, and secure APIs. ◦ Set up CI/CD pipelines, logging, and monitoring so solutions are repeatable, observable, and reliable in production. ◦ Handle credentials, model inputs/outputs, and sensitive data securely, in line with the company’s government-contract compliance requirements.
• Integration & Data
◦ Integrate with enterprise systems such as Oracle ERP, Salesforce, Oracle Hyperion Financial Management (HFM), and CPQ / quoting tools; build and secure the REST APIs and data pipelines that feed AI solutions. ◦ Support reporting and dashboard needs (e.g., revenue/margin, P&L, and utilization) where they complement AI and automation projects.
• Technical Leadership
◦ Serve as the technical lead for AI and automation projects: help define requirements with subject-matter experts and coordinate with FMD’s technology development and AI team and with IT. ◦ Establish development standards, documentation, and evaluation / observability practices to measure and continuously improve AI output quality. ◦ Help track solution impact and ROI so the program can demonstrate value early. ◦ Provide technical direction to other developers and contract resources supporting the initiative.
• Other duties as assigned.
Required Qualifications
• 5+ years building and supporting production software, automation, or AI solutions, with a BS in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Hands-on experience deploying and operating applications in Microsoft Azure (e.g., App Service / Functions, storage, identity, and Azure OpenAI / Azure AI services).
• Demonstrated experience shipping LLM-based applications to production, including retrieval-augmented generation (RAG), tool use / function calling, and orchestration.
• Strong Python and SQL skills, plus REST API design and integration using modern authentication (OAuth 2.0 / OpenID Connect).
• Working experience with Git, CI/CD, and containerization (e.g., Docker), and with AI-assisted coding tools such as Claude /…
Skills asked for
- azure
- excel
- ci/cd
- salesforce
- rest
- llm
- python
- docker
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