Description

You will drive the enterprise AI transformation by defining vision, governance, and leading the delivery of high-impact GenAI and ML solutions.

Responsibilities

• Define the enterprise AI vision, roadmap, and operating model.
• Identify and prioritize AI/ML/GenAI opportunities across business units.
• Design and deploy AI solutions, including consultation agents, hazard detection, and regulatory Q&A automation.
• 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.

Required Skills

• Deep expertise in Machine Learning, Generative AI, LLMs, and RAG.
• Strong understanding of Azure OpenAI, AWS Bedrock, or similar AI platforms.
• Experience deploying AI in regulated environments.
• Hands-on architectural and engineering leadership capabilities.
• 12+ years in AI/ML or Data Engineering.
• Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).
• Experience with Data Engineering principles.

Key Skills

Education

Any Gradute