Applied AI Engineer – Test & Evaluation (T&E)
Canvas Inc.
About the role
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.
Responsibilities
- Identify test and engineering workflows that could benefit from AI, automation, analytics, or digital tools.
- Build and prototype AI assistants, agents, retrieval-based tools, and workflow automations.
- Support AI applications for test planning, technical reporting, data analysis, and training.
- Assess readiness of technical data and systems for ingestion, security, search, and analysis.
- Translate user needs into technical requirements, prototypes, and implementation plans.
- Evaluate AI platforms, vendors, and external development work for feasibility, security, scalability, and mission fit.
- Support contracted AI and modernization work through requirements development, deliverable review, and risk identification.
- Promote user adoption through working groups, demonstrations, training, and stakeholder communication.
Qualifications
- Bachelor’s degree in a technical discipline or equivalent experience.
- At least 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, databases, storage, metadata, search, access control, and data quality.
- 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 experience supporting DoD, federal, aerospace, defense, laboratory, engineering, or test organizations.
Skills mentioned
About Canvas Inc.
Canvass, Inc. was formed in October, 2010 by Nicole Forrest and Marco Bitran. Canvass.com plans to launch its beta site in late 2010 / early 2011. Almost everyone loves real estate. We all have a vested interest in it. Canvass will be the first open platform allowing enthusiasts to stay in touch with real estate, follow and learn about their target markets, and connect with buyers, sellers and brokers. We can't say much more right now, but stay tuned!