Leader of Generative AI – Certified Software
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. BETA Technologies is seeking a Leader of Generative Artificial Intelligence – Certified Software to define and execute our generative AI strategy across the company. This is a high-impact leadership role responsible for transforming how we design, build, certify, manufacture, and support our products using state-of-the-art AI technologies. You will move beyond experimentation to real, measurable business transformation , embedding generative AI into core workflows while ensuring safety, security, regulatory compliance, and ethical use. This role combines strategic vision, deep technical understanding, and hands-on leadership in a mission-critical, regulatory environment.
Requirements
- 10+ years of experience in software, data, or AI-driven product development, with at least 3+ years leading AI or advanced analytics initiatives.
- Demonstrated experience deploying generative AI solutions in real-world, production environments.
- Strong understanding of modern AI/ML architectures (LLMs, RAG, agents, fine-tuning, evaluation, MLOps).
- Proven ability to lead cross-functional transformation in complex, regulated, or safety-critical industries.
- Exceptional communication skills—able to bridge technical depth and executive-level decision making.
Nice To Haves
- Experience in aerospace, automotive, manufacturing, robotics, or other highly regulated engineering environments.
- Familiarity with FAA, EASA, or similar regulatory frameworks.
- Background in cloud platforms, enterprise systems, and secure data architectures.
- Track record of building teams and scaling AI capabilities from pilot to enterprise impact.
Responsibilities
- Strategy & Vision: Define and own BETA’s enterprise generative AI strategy aligned with business objectives, safety requirements, and long-term product roadmap.
- Identify high-value use cases across engineering, manufacturing, supply chain, flight operations, certification, customer support, and corporate functions.
- Translate AI potential into clear ROI, productivity gains, and competitive advantage.
- Primary use case focused on generation of artifacts required for DO-178C software development and certification.
- Execution & Delivery: Lead the design, development, and deployment of generative AI solutions (e.g., LLMs, multimodal models, copilots, agents, and workflow automation).
- Partner with engineering, IT, security, legal, and compliance teams to ensure solutions meet aerospace-grade reliability and regulatory standards.
- Establish scalable AI platforms, tooling, and MLOps practices that enable rapid innovation without sacrificing control or safety.
- Leadership & Culture: Build and lead a high-performing AI team, including engineers, data scientists, and product partners.
- Act as a trusted advisor to executive leadership on AI opportunities, risks, and tradeoffs.
- Drive AI literacy across the organization, enabling teams to adopt and responsibly use generative AI in their daily work.
- Governance & Responsibility: Establish governance frameworks for responsible AI use, including data privacy, security, model risk management, and ethical considerations.
- Ensure compliance with applicable aviation, data protection, and emerging AI regulations.
- Evaluate and manage relationships with AI vendors, platforms, and research partners.
Benefits
- Be at the forefront of electric aviation and climate-positive transportation.
- Lead generative AI transformation at a company where innovation directly impacts the physical world.
- Work with mission-driven, world-class engineers and operators.
- Competitive compensation, benefits, and the opportunity to shape the future of both aviation and AI.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
501-1,000 employees
