Position: Enterprise AI Transformation Lead
Location: San Francisco CA***Day 1 Onsite***
Duration: 1 Years
| 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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Position: Enterprise AI Transformation Lead Location: San Francisco CA***Day 1 Onsite*** Duration: 1 Years Enterprise AI Transformation Lead (GenAI & ML Strategy) Required Qualifications Deep expertise in Machine Learning Generative AI LLMs RAG and AI orchestration. Strong underst...
Position: Enterprise AI Transformation Lead
Location: San Francisco CA***Day 1 Onsite***
Duration: 1 Years
| 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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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
