Associate Director/Director, AI Engineering

Ready to redefine what's possible in molecular diagnostics?

Join a team of brilliant, passionate innovators who wake up every day determined to transform healthcare. At BillionToOne, we've built something extraordinary—a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we strive to build products that are 10x better than anything that exists today. Our people are our greatest asset: talented scientists, engineers, sales professionals, and visionaries united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion—every innovation you contribute helps remove fear of unknown from some of life's most critical medical moments. If you're driven by purpose, energized by innovation, and ready to help build the future of precision medicine, this is where you belong.

BillionToOne is seeking an experienced Associate Director/Director AI Engineer to join our Enterprise Architecture / Data Science organization and lead the design, execution, and scale-up of AI initiatives across our enterprise. This hybrid role blends deep technical expertise in Generative AI with program management excellence, enabling enterprise-level adoption and transformation.

Reporting to the VP of Data Science/IS,IT, you’ll partner closely with executive leadership and business unit leaders to drive the enterprise-wide GenAI strategy, deliver measurable value, and unlock operational efficiencies across Commercial and SG&A teams. You will serve as a thought leader and architect of GenAI-enabled innovation at BillionToOne. This is a hybrid (onsite 3-4 days/week) position and reports to the VP, IS/IT. 

Responsibilities:

• AI Strategy & Leadership
  • Develop and lead the company-wide strategy for Generative AI adoption.
  • Serve as a consultative partner to executive leadership and business units, identifying and prioritizing high-impact AI opportunities.
  • Design end-to-end AI solutions that integrate with existing enterprise architecture and comply with IT security, privacy, and governance standards.
  • Act as a thought leader, internally and externally, on practical GenAI applications, AI ethics, and industry best practices.
• AI Architecture & Delivery
  • Conduct user interviews and define technical and functional requirements.
  • Conduct technical assessments of vendor solutions and manage relationships with AI technology partners.
  • Evaluate and implement platforms such as Azure AI, AWS SageMaker, and Google Vertex AI.
  • Establish and enforce MLOps practices for model deployment, monitoring, and version control.
  • Design APIs and microservices for real-time AI inference and integration across business workflows.
  • End-to-end feasibility to delivery, including: leading proof-of-concepts, validating ROI, development, integration and testing.
  • Mentor other AI developers on best practices, frameworks, and architectural patterns.
  • Knowledge of data engineering concepts and tools (SQL, ETL/ELT, data warehousing).
• Program Management & Execution
  • Lead proof-of-concept development to validate technical feasibility and business value.
  • Drive continuous improvement in AI delivery processes and methodologies.
  • Manage a portfolio of 3–5 concurrent AI projects from concept to deployment.
  • Own delivery timelines, budgets, milestones, and success metrics.
  • Facilitate stage-gate reviews with clear go/no-go criteria.
  • Partner with IT, Data Science, Legal, and security teams to ensure governance and compliance.
• Business Enablement & Change Management
  • Partner with business leaders in sales, marketing, finance, and operations to identify high-value AI opportunities.
  • Translate business needs into AI solutions and demonstrate tangible ROI.
  • Create detailed technical specifications, reference architectures, and implementation roadmaps for AI initiatives.
  • Coordinate cross-functional teams including data scientists, business analysts, and IT infrastructure.
  • Facilitate design thinking workshops to rapidly prototype AI solutions and drive stakeholder engagement.
  • Collaborate with operational leaders and embedded analysts to ensure AI integration into daily workflows.
  • Serve as a thought leader, internally and externally, advocating and educating on the potential and practical application of Generative AI.
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