Senior AI Systems Engineer - Advanced Concepts

South Burlington, Vermontfull timeRemote

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senior

$175k–$200k

H1B: no

Betatechnologiesinc Senior AI Systems Engineer architecting AI-enabled engineering systems to accelerate advanced aircraft development from concept through flight test. Responsible for defining architecture, technical roadmap, and integrating AI capabilities into engineering workflows.

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

Qualification

Bachelor’s degree in computer scienceExperience defining model evaluationAbove and Beyond QualificationsExperience integrating requirementsExperience with multi-agent systemsPhysical Demands and Work Environment

Required

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:

Benefits

Medical
Dental
Vision
Equity/RSU
Parental Leave

Company

Betatechnologiesinc

View company page

Source: greenhouse

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

Bachelor’s degree in computer scienceExperience defining model evaluationAbove and Beyond QualificationsExperience integrating requirementsExperience with multi-agent systems

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