AI Enablement Lead

You will

• Act as a domain authority in AI across G&A, mentoring team members, setting technical standards, and guiding leadership on AI investments and roadmap prioritization.
• 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.

You have

• BS degree in Computer Science, or a related technical field, or equivalent practical experience
• 8-10 years of professional experience across data science, data engineering and business intelligence disciplines. 3+ years of technical experience with a focus on building and shipping AI/ML products
• 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

We prefer

• Deep expertise integrating AI and LLM solutions securely with major enterprise SaaS platforms (e.g., Salesforce, SAP, Workday, ServiceNow) in a complex, global corporate environment
• Experience designing advanced agentic patterns (e.g., multi-agent orchestration, complex RAG architectures, dynamic tool use) for automating multi-step, cross-platform business workflows.
• Proven track record of influencing cross-functional leadership, driving technical strategy, and managing organizational change to ensure high user adoption of new AI tools across non-technical business units
• Strong understanding of AI governance, enterprise data privacy standards, and security protocols (e.g., RBAC, data loss prevention) when deploying AI applications on internal corporate data
• Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment
• Experience acting as a technical multiplier-mentoring team members, setting engineering standards for AI tooling, and guiding leadership on AI investments and roadmap prioritization.

Pay and benefits

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $200,000 - $247,000 USD