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

Canvas; Arnold (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Canvas in Arnold, MD seeks an AI/ML engineer to identify and optimize T&E and engineering workflows using AI, automation, and analytics. You will build AI assistants, retrieval tools, and workflow automations, supporting test planning, reporting, and data insight extraction.

You will assess data readiness for large technical datasets, translate user needs into technical plans, and evaluate AI tools and external partners for feasibility and security. On-site work at Arnold AFB with DoD clearance.

Qualifications

• Bachelor’s degree in a technical discipline or equivalent experience.
• 3+ years of relevant experience in applied AI, ML, data engineering, software development, automation, analytics, knowledge management, or digital transformation.
• Experience with AI tools, LLMs, retrieval-augmented generation, intelligent automation, or similar technologies.
• Familiarity with data ingestion, databases, 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 Arnold Air Force Base and obtain DoD Secret clearance.

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.

Skills

AI & ML experience

Data engineering

Software development

Automation

Knowledge management

DoD security clearance

Education

Bachelor’s degree in a technical discipline

Tools

Python

SQL

APIs

Job description

• 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.
  
  

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.