Job description

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. As a Senior AI Systems Engineer on the Advanced Systems team, you will architect and guide AI-enabled engineering systems that accelerate advanced aircraft development from concept through flight test. You will connect aircraft-development knowledge, data, tools, and workflows to deliver practical intelligence for requirements, design, analysis, test, configuration, and program decisions. 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: Define the architecture and technical roadmap for AI-enabled engineering and program decision-support systems Translate requirements, design, analysis, test, configuration, and program workflows into AI capabilities with clear users, inputs, outputs, interfaces, and measures of success Architect agents, retrieval, model services, APIs, data pipelines, evaluation, observability, and deployment infrastructure Integrate controlled engineering data and tools while preserving access control, configuration, provenance, data rights, and auditability Establish evaluation and verification methods for accuracy, grounding, robustness, reproducibility, failure behavior, latency, and cost Develop AI capabilities that synthesize technical evidence, identify relationships and risks, automate routine work, and improve the speed and quality of aircraft-development decisions Coordinate domain engineers, the AI/ML and Computational Design roles, BETA OS, IT, cybersecurity, and legal stakeholders; run technical and risk reviews Deploy and sustain reusable capabilities; monitor performance and drift, manage changes and incidents, and guide other engineers Minimum Qualifications: Bachelor’s degree in computer science, software engineering, machine learning, systems engineering, aerospace engineering, or a related technical field Five or more years of experience delivering AI, machine-learning, data, software, or complex systems into production, including independent architecture ownership Demonstrated experience integrating models, agents, retrieval, APIs, data pipelines, evaluation, observability, and enterprise data sources Strong software-development ability in Python or an equivalent language, with experience in cloud deployment, containers, automated testing, and source control Experience defining model evaluation, access control, data provenance, security, change control, and failure-handling practices Ability to explain technical limitations, uncertainty, residual risk, and recommendations to engineering and program leadership Must be a US Person to be considered for the role Above and Beyond Qualifications: AI or digital-engineering experience in aerospace or another regulated or safety-critical product environment Experience integrating requirements, 3DX, CAD, CAE, test, configuration, or engineering knowledge systems Experience with multi-agent systems, retrieval-augmented generation, model evaluation, technical knowledge systems, or engineering decision support Physical Demands and Work Environment: This role requires extended computer work and regular interaction with office, laboratory, manufacturing, hangar, aircraft, and test environments. Occasional travel, nonstandard test support, and use of required personal protective equipment may be necessary. 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 $175,000 — $200,000 USD Build electric airplanes with us! BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding. We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

Requirements

Must-haves

How you will contribute to revolutionizing electric aviation:
Define the architecture and technical roadmap for AI-enabled engineering and program decision-support systems
Translate requirements, design, analysis, test, configuration, and program workflows into AI capabilities with clear users, inputs, outputs, interfaces, and measures of success
Architect agents, retrieval, model services, APIs, data pipelines, evaluation, observability, and deployment infrastructure
Integrate controlled engineering data and tools while preserving access control, configuration, provenance, data rights, and auditability
Establish evaluation and verification methods for accuracy, grounding, robustness, reproducibility, failure behavior, latency, and cost
Develop AI capabilities that synthesize technical evidence, identify relationships and risks, automate routine work, and improve the speed and quality of aircraft-development decisions
Coordinate domain engineers, the AI/ML and Computational Design roles, BETA OS, IT, cybersecurity, and legal stakeholders; run technical and risk reviews
Deploy and sustain reusable capabilities; monitor performance and drift, manage changes and incidents, and guide other engineers
Bachelor’s degree in computer science, software engineering, machine learning, systems engineering, aerospace engineering, or a related technical field
Five or more years of experience delivering AI, machine-learning, data, software, or complex systems into production, including independent architecture ownership
Demonstrated experience integrating models, agents, retrieval, APIs, data pipelines, evaluation, observability, and enterprise data sources
Strong software-development ability in Python or an equivalent language, with experience in cloud deployment, containers, automated testing, and source control
Experience defining model evaluation, access control, data provenance, security, change control, and failure-handling practices
Ability to explain technical limitations, uncertainty, residual risk, and recommendations to engineering and program leadership
Must be a US Person to be considered for the role
AI or digital-engineering experience in aerospace or another regulated or safety-critical product environment
Experience integrating requirements, 3DX, CAD, CAE, test, configuration, or engineering knowledge systems
Experience with multi-agent systems, retrieval-augmented generation, model evaluation, technical knowledge systems, or engineering decision support
We encourage all driven candidates to apply, even if they do not meet every listed qualification.
Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

Nice-to-haves

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Application prep

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Keywords to mirror

aimlmachine learningpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave