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Role Description

This role involves working with BILL’s AI Product and Platform team to build the intelligence backbone that powers every AI and agent-driven experience across our products.

• Architect large-scale LLM infrastructure, evaluation, and data systems.
• Partner closely with product and engineering teams to launch new agents.
• Drive down latency and cost while setting technical standards for AI across the company.
• Lead the architectural strategy and design for end-to-end ML systems.
• Own the operational roadmap for production-level inference, fine-tuning, and LLM orchestration at a large scale.
• Develop and standardize reusable ML modeling frameworks and high-performance data pipelines.
• Lead applied research initiatives and design experiments to push the boundaries of BILL's AI capabilities.
• Oversee the evolution of BILL's data infrastructure for maximum scalability and long-term maintainability.
• Identify emerging AI opportunities and transform them into core business goals.
• Define and enforce best practices for ML engineering and mentor junior engineers.

Qualifications

• Proven leadership in leading complex, high-impact AI projects from ideation to production.
• Deep expertise in building backend systems that support AI-driven products.
• Expert-level experience in building complex data pipelines (ETL, cleaning, structuring).
• Ability to bridge the gap between theoretical ML research and production engineering.
• Strong communication skills with a history of shaping team goals and defining engineering standards.
• Experience managing risks and trade-offs of complex AI deployments.

Requirements

• This position is eligible for visa sponsorship.
• The estimated salary range for this role in San Jose is $216,000 — $269,900 USD.

Benefits

• 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP).
• HSA & FSA accounts.
• Life Insurance, Long & Short-term disability coverage.
• Employee Assistance Program (EAP).
• 11+ Observed holidays and wellness days and flexible time off.
• Employee Stock Purchase Program with employee discounts.
• Wellness & Fitness initiatives.
• Employee recognition and referral programs.
• And much more.