Enterprise AI Transformation Lead
Inherent Technologies, San Francisco, California, United States, 94199
Location: San Francisco, CA • Day 1 Onsite
Duration: 1 year
Enterprise AI Transformation Lead (GenAI & ML Strategy)
Required Qualifications
Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration. Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms. Experience deploying AI in regulated environments. Hands‑on architectural and engineering leadership capabilities. Strong communication skills with VP/Senior Director stakeholders. Preferred Qualifications
12+ years in AI/ML, data engineering, or digital transformation. Prior experience leading enterprise AI programs. Utility domain experience (wildfire, grid, operations). Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001). Roles & Responsibilities
Role Overview
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation—defining vision, governance, enterprise architecture, and leading delivery of high‑impact GenAI and ML solutions. Key Responsibilities
Define the enterprise AI vision, roadmap, and operating model. Identify and prioritize AI/ML/GenAI opportunities across business units. Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&A automation, and contact center assistants. Establish AI governance, compliance, model risk management, and auditability frameworks. Lead cross‑functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops. Mentor and guide data scientists, ML engineers, architects, and product owners. Promote AI literacy, change management, and best practices across the enterprise.
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Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration. Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms. Experience deploying AI in regulated environments. Hands‑on architectural and engineering leadership capabilities. Strong communication skills with VP/Senior Director stakeholders. Preferred Qualifications
12+ years in AI/ML, data engineering, or digital transformation. Prior experience leading enterprise AI programs. Utility domain experience (wildfire, grid, operations). Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001). Roles & Responsibilities
Role Overview
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation—defining vision, governance, enterprise architecture, and leading delivery of high‑impact GenAI and ML solutions. Key Responsibilities
Define the enterprise AI vision, roadmap, and operating model. Identify and prioritize AI/ML/GenAI opportunities across business units. Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&A automation, and contact center assistants. Establish AI governance, compliance, model risk management, and auditability frameworks. Lead cross‑functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops. Mentor and guide data scientists, ML engineers, architects, and product owners. Promote AI literacy, change management, and best practices across the enterprise.
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