• Assist in building components of the Aedeon agent fleet parsers, extractors, dependency mappers, test synthesizers under senior engineer guidance. • Learn how agents operate against the Code Intelligence Graph so every action traces back to a line of code. • Get exposure to governed autonomy stages (shadow, supervised, autonomous) and the human-in-the-loop controls at each stage. • Shadow how the team orchestrates foundation models (Anthropic, OpenAI, Google) through the Aedeon Decision Model. • Practice writing tests before code, for the small pieces of functionality you own. • Help build behavior-equivalence checks comparing agent output against expected results. • Contribute to test cases covering functional flows and edge cases, with mentor review before anything ships. • Get hands-on with pytest and the team's CI/CD-integrated test suites. • Write clear, readable Python and submit pull requests for review. • Document what you build in Confluence or equivalent clearly enough that a teammate can pick it up without asking you first.

• Interact directly with our Federal customer and set priorities on a weekly basis, advising them on best practices and supporting governance initiatives across the organization. • Responsible for achieving a high degree of customer satisfaction. • Provide technical knowledge and analysis of highly specialized applications and operational environment. • Apply principles, methods and knowledge of the functional area of capability to specific task order requirements. • Assist other senior consultants with analysis and evaluation and with the preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts.

Role Description Fairbanks Morse Defense’ Aftermarket Continuous Improvement (CI) function is driving a portfolio of artificial intelligence (AI), business intelligence (BI), and process-automation initiatives; the Fairbanks Morse Operating System (FMOS) program, to make the business faster, better, and more reliable. In order to support the growth and demands of our customers, FMD needs to deliver higher-quality service, faster quoting, faster job completion, and better insight all enabled by automation of manual data tasks, data visualization, and utilizing AI tools to drive efficiency. FMA is seeking an IT Systems Engineer as the dedicated technical resource who designs, builds, deploys, operates and maintains these AI, BI, and automation solutions across the organization. This is a hands-on lead role: you will take prioritized ideas from the CI pipeline and turn them into secure, production-grade solutions running primarily in Microsoft Azure. Qualifications - BS in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related technical field; or equivalent practical experience. - 5+ years of experience in IT, software, or automation development and deployment, including hands-on design, build, and production support, with demonstrated technical leadership. - Strong hands-on experience with Microsoft Azure deploying and operating workloads across compute, storage, networking, identity, and Azure AI / Azure OpenAI services. - Demonstrated experience developing and deploying AI agents into production, including retrieval-augmented generation (RAG), tool use / function calling, and orchestration. - Experience using modern AI-assisted coding tools such as Claude / Claude Code, Cursor, Codex Gemini, GitHub Copilot, or equivalent. - Experience designing and deploying network solutions and integrations virtual networks, secure connectivity, and APIs. - Experience building BI dashboards and data models (e.g., Power BI) sourced from ERP and CRM systems such as Oracle and Salesforce. - Proficiency with REST API design, modern authentication (OAuth 2.0 / OpenID Connect), Git-based version control, CI/CD, and containerization tools such as Docker. - Strong problem-solving skills, attention to detail, and excellent written and verbal communication, with the ability to explain technical concepts to varied audiences and work productively across teams. - Ability to work independently in a fast-paced environment and lead initiatives from idea to deployed solution. Requirements - This position requires access or potential access to Unclassified Naval Nuclear Propulsion Information, which is Not Releasable to Foreign Nationals (NOFORN) data. Therefore, to meet the NOFORN requirement, you will have to provide proof of US Citizenship and attest that you do not have dual citizenship. Acceptable proof of US Citizenship is a US Passport, US Birth Certificate or Naturalization Certificate. Preferred - Experience working in CMMC and government-contract IT environments, including NIST 800-171, DFARS, STIG, and RMF compliance. - Hands-on experience building and operating applications within Azure Government Cloud (GCC-High, FedRAMP, IL4 / IL5) environments. - Experience building AI agents with frameworks such as Microsoft Semantic Kernel, LangChain, LangGraph, AutoGen, or equivalent. - Experience with vector databases, embedding models, and RAG over large technical-document corpora. - Strong programming skills in Python and JavaScript/TypeScript, plus SQL; experience with C# / .NET is a plus. - Experience integrating with Oracle ERP, Salesforce, HFM, and CPQ / quoting platforms. - Infrastructure-as-code experience (Terraform, Bicep) and CI/CD with Azure DevOps or GitHub Actions. - Experience with the Microsoft Power Platform (Power Automate, Power Apps) for low-code automation. - Familiarity with LLM evaluation, observability, and prompt-engineering best practices. - Experience in manufacturing, defense, or maritime / aftermarket service environments. - Familiarity with Lean / Six Sigma or other continuous-improvement methodologies, and working knowledge of MS Project. Benefits - Medical, dental, vision, life, and disability insurances. - 401k retirement plan with employer match. - Paid time off. - Paid holidays. - Paid parental leave. - Tuition reimbursement. Equal Opportunity Employer/Veterans/Disabled

• Collaborate with cross-functional teams in an Agile environment to gather, analyze, and document business, data, reporting, and analytics requirements. • Translate business needs into clear user stories, system specifications, data requirements, workflows, and acceptance criteria that align with project goals. • Develop and support data models in SAP Business Data Cloud and SAP Datasphere, including data modeling, data flows, and data virtualization. • Develop and support analytical models, dashboards, enterprise reporting solutions, and business-facing analytics using SAP Analytics Cloud. • Implement and support data ingestion, transformation, harmonization, and integration processes across multiple data sources, including SAP BW/HANA and SAP Datasphere. • Facilitate communication between business stakeholders, development teams, QA, engineers, and data platform teams to ensure a shared understanding of requirements and solutions. • Work closely with QA and engineering teams to review story requirements, validate system functionality, support testing, and confirm reporting accuracy. • Provide support by troubleshooting issues, conducting impact analysis, supporting performance tuning, and recommending practical solutions. • Create flow diagrams, technical documentation, reporting specifications, process documentation, and solution documentation for stakeholders. • Support implementation, training, production support, platform optimization, and ongoing maintenance of business systems and analytics solutions.