Senior AI Systems Engineer - Advanced Concepts
BETA Technologies9 hours ago
Base Salary
$175k - $200k/yr
Responsibilities
- Define the architecture and technical roadmap for AI-enabled engineering and program decision-support systems.
- Translate aircraft-development requirements, design, analysis, test, configuration, and program workflows into measurable AI capabilities.
- Architect agents, retrieval, model services, APIs, data pipelines, evaluation, observability, and deployment infrastructure.
- Integrate controlled engineering data and tools while maintaining access control, configuration, provenance, data rights, and auditability.
- Establish evaluation and verification methods covering 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 aircraft-development decisions.
- Coordinate domain engineering, AI/ML, Computational Design, BETA OS, IT, cybersecurity, and legal stakeholders and lead technical and risk reviews.
- Deploy and sustain reusable capabilities, monitor performance and drift, manage changes and incidents, and guide other engineers.
Requirements
- Bachelor’s degree in computer science, software engineering, machine learning, systems engineering, aerospace engineering, or a related technical field.
- At least five years of experience delivering AI, machine-learning, data, software, or complex systems into production, including independent architecture ownership.
- 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 communicate technical limitations, uncertainty, residual risk, and recommendations to engineering and program leadership.
- Must be a US Person to be considered.
- Preferred experience includes AI or digital engineering in aerospace, regulated, or safety-critical environments; integration with requirements, 3DX, CAD, CAE, test, configuration, or engineering knowledge systems; and multi-agent systems, retrieval-augmented generation, model evaluation, technical knowledge systems, or engineering decision support.
Benefits
- The role is based onsite in South Burlington, Vermont or Raleigh, North Carolina; remote candidates may be considered for a hybrid arrangement with monthly visits to South Burlington.
- The role includes restricted stock units and performance stock units for full-time team members.
- Benefits include onsite healthcare in Vermont, medical, dental and vision coverage, short- and long-term disability, and paid parental leave.
- Additional perks include daily lunch, flight lessons, and other company benefits.
- The role involves extended computer work and interaction with office, laboratory, manufacturing, hangar, aircraft, and test environments; occasional travel, nonstandard test support, and required personal protective equipment may be necessary.
Tech Stack
Categories
About BETA Technologies
BETA Technologies designs and builds electric aircraft and a supporting charging network for aviation operators, logistics providers, and government customers. Its ALIA platform includes eVTOL and conventional-takeoff variants, paired with interoperable rapid chargers deployed at airports and vertiports; revenue comes from aircraft sales, service, and infrastructure. Founded in 2017 and headquartered in South Burlington, Vermont, the privately held company has announced deals with UPS and United Therapeutics and R&D contracts with the U.S. Air Force.