AI / ML Engineer – Advanced Concepts
The AI/ML Engineer will build and operates the agent, retrieval, data-pipeline and deployment infrastructure. The role supports aircraft development while building methods, evidence, and reusable capability for broader Advanced Systems teams and partners. This position will be based onsite at our South Burlington, VT office location, our Raleigh, NC office. Remote candidates may be considered for a hybrid role, with monthly visits to South Burlington, VT for in person work.
How you will contribute to revolutionizing electric aviation:
Implements orchestration, tool calls, grounding, permissions, observability, automated evaluation and program-intelligence workflows
Coordinate with Lead Applied AI; Digital Engineering; Program; BETA OS; IT/Cybersecurity
Produce and maintain Working agents; integrations; evaluation results; operations dashboard
Support the Program Director / Chief Engineer by reduces decision and communication latency while keeping outputs grounded in controlled data
Document assumptions, interfaces, decisions, risks, and verification needs in configuration-controlled engineering records
Communicate status, unresolved issues, and recommended actions clearly in technical and program reviews
Minimum Qualifications:
Bachelor’s degree in computer science, software engineering, machine learning, or a related technical field
Three or more years of relevant engineering or complex-product experience
Experience with requirements, interfaces, architecture, configuration, verification or multidisciplinary product integration
Ability to structure and maintain traceable technical information and drive cross-functional actions to closure
Working knowledge of aircraft development, safety, configuration control and design-review practices
Ability to communicate technical assumptions, limitations, risks, and recommendations clearly and work effectively across disciplines
Must be a US Person to be considered for the role
Above and Beyond Qualifications:
Applied AI, optimization, agent, digital-thread, or engineering-software experience in a regulated or safety-critical environment
Experience integrating commercial and internal engineering tools through APIs and controlled data pipelines
Experience with model evaluation, observability, security, data rights, or human-in-the-loop approval workflows
Physical Demands and Work Environment:
This role requires regular work in office, laboratory, manufacturing, hangar, aircraft, and test environments; Periods of standing, walking, bending, and hands-on hardware work; Occasional lefiting consistent with saafe work practices; Occasional travel or nonstandard test hours; And use of required personal protective equipment.
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.
Compensation
$120,000—$145,000 USD