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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