$149,748–$205,305
Applied AI Engineer – Test & Evaluation (T&E)
Published · Updated
Pay not postedTullahoma, TNOn-siteMid-level
Identify T&E and engineering workflows suited to AI, automation, analytics, or digital tools.
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At a glance
Posted base pay
Not posted
Median $193K
Typical US FDE payMiddle 50% of 2,432 postings$160K–$225KThe work
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More like this
$200,000–$400,000
Pay not posted
The job description from Canvas
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.
About Canvas
Canvas provides test, engineering, software, and technology services for U.S. defense programs.
Unknown · 500–1000 people
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