AI Enablement Lead
$200,000–$247,000 year
HybridMountain View Santa Clara County, California, United States
Job Summary
Lead domain authority for AI across G&A by mentoring team members, setting technical standards, and guiding leadership on investments and roadmap prioritization. Develop and prototype solutions using large language models, agent frameworks, and workflow orchestration tools to automate manual bottlenecks in Finance, HR, Sales, Supply Chain, and Marketing. Provide technical oversight by reviewing code and prompts, defining evaluation methodologies, and ensuring seamless connectivity between AI agents and enterprise systems via APIs and data pipelines. Bridge complex data with real-world business action to empower leaders to automate processes and scale operational efficiency.
Required Qualifications
- 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
- Experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch)
- 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
- hybrid work schedule
Desired Qualifications
- 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
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