Sr. AI/ML Engineer-8
Role summary
This contract role for a Sr. AI/ML Engineer in San Francisco focuses on driving enterprise AI adoption within the Utilities sector. The engineer will define the AI vision, roadmap, and governance, and lead the delivery of high-impact Generative AI and ML solutions. Key responsibilities include establishing AI governance, compliance, and model risk management frameworks, and leading cross-functional AI programs. The role requires deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration, with experience in cloud platforms like Azure OpenAI or AWS Bedrock, and deployment in regulated environments. Strong leadership and communication skills are essential for interacting with senior stakeholders.
San Francisco, California 94016 Posted March 29th, 2026
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Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer
- Experience – 10+ Years
- Location - San Francisco, CA – LOCALS Only
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.
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER