Senior AI Systems Engineer - Advanced Concepts
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Restricted Stock Units
- Performance Stock Units
- Onsite healthcare in Vermont
- Comprehensive medical coverage
- Dental and vision
- Short- and long-term disability
- Paid parental leave
- Daily lunch provided
- Flight lessons
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
