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Waymo Logo Waymo · IT - Software Development

AI Enablement Lead

United States, Mountain View 158000.00 - 200000.00 USD / Year · Job Posted May 05, 2026
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Job Description

The DTS team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager, Supply Chain & GTM Systems.

Job Responsibility

  • Strategize and define the roadmap for AI-driven solutions across business systems leveraging GCP and SaaS Ecosystems (Salesforce, SAP, Workday, ServiceNow)
  • Lead discovery and design efforts by mapping business processes, identifying high-value automation opportunities, and defining agent roles, capabilities, and governance guardrails
  • Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools
  • Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks
  • Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes
  • Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms

Requirements

  • BS degree in Computer Science, or a related technical field, or equivalent practical experience
  • 5+ years of software engineering experience with a focus on building and shipping AI/ML products
  • 10+ years of professional experience across data engineering, or business intelligence disciplines
  • Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements
  • Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms
  • Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems
  • Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders

Nice to have

  • Master's in Computer Science, Artificial Intelligence, or related field
  • Experience with Generative AI (LLMs) and its application in enterprise business intelligence
  • Background in data engineering or data warehousing principles
  • Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment
  • Experience with business intelligence tools and dash boarding technologies

What we offer

  • discretionary annual bonus program
  • equity incentive plan
  • generous Company benefits program
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