Applied AI Engineer – Test & Evaluation (T&E)

Canvas

  • Arnold AFB, Tennessee
  • 5 days ago

    Highlights

    Support applications including test planning, procedure development, test-report drafting and review, insight extraction from test data and reports, and training/how-to development. 3+ years of relevant experience in applied AI, machine learning, data engineering, software development, automation, analytics, knowledge management, or digital transformation.

    Numbers & Facts

    LocationArnold AFB, Tennessee

    Description

    Key Responsibilities

    • Identify T&E and engineering workflows where AI, automation, analytics, or digital tools can improve efficiency or decision-making.
    • Build and prototype AI assistants, agents, retrieval-based knowledge tools, and workflow automations.
    • Support applications including test planning, procedure development, test-report drafting and review, insight extraction from test data and reports, and training/how-to development.
    • Assess data and system readiness for ingesting, organizing, securing, searching, and analyzing large technical datasets and document collections.
    • Translate user needs into technical requirements, prototypes, and implementation plans.
    • Evaluate AI tools, platforms, vendors, and external development efforts for feasibility, scalability, security considerations, and mission fit.
    • Serve as a technical point of contact for outsourced AI or digital-modernization work, including requirements development, deliverable review, and technical risk identification.
    • Support user adoption through working groups, demonstrations, training materials, and clear communication with technical and nontechnical stakeholders.

    Minimum Qualifications

    • Bachelor’s degree in a technical discipline, such as computer science, engineering, data science, information systems, or mathematics; equivalent experience may be considered.
    • 3+ years of relevant experience in applied AI, machine learning, data engineering, software development, automation, analytics, knowledge management, or digital transformation.
    • Experience with AI tools, large language models, retrieval-augmented generation, intelligent automation, or similar technologies.
    • Familiarity with data ingestion, database management, storage, metadata, search, retrieval, access control, and data-quality concepts.
    • Experience developing or supporting AI assistants, agents, automated workflows, or knowledge-management tools.
    • Ability to work on-site at or in support of Arnold Air Force Base, as required.
    • Must be able to obtain a DoD Secret security clearance.

    Preferred Qualifications

    • Experience supporting DoD, federal, aerospace, defense, laboratory, engineering, or test organizations.
    • Familiarity with T&E processes, test planning, test execution, test-data management, engineering analysis, or technical reporting.
    • Experience applying AI or automation to technical data, reports, procedures, requirements, or engineering workflows.
    • Familiarity with Python, SQL, APIs, low-code/no-code automation tools, or system-integration approaches.
    • Experience evaluating third-party technical solutions, managing vendors, or serving as a technical liaison for contracted development.
    • Experience leading working groups, technology adoption efforts, digital-transformation initiatives, or user training.
    • Has active DoD security clearance.

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