AI Governance

Price Waterhouse Cooper LLP; Bengaluru; Hybrid; INR 2,400,000 - 3,600,000; Full time

Job summary

Price Waterhouse Cooper LLP seeks an experienced AI Governance professional with 8–15 years of experience focusing on AI model development, agentic governance, red teaming, guardrails, governance, and model validation. Cloud experience with Azure/AWS and strong stakeholder management are essential.

Qualification includes a Bachelor's or Master's in CS/Data Science/AI/Statistics. Consulting background and BFSI domain exposure are a plus for this role located in Bengaluru, India.

Qualifications

• Bachelor's/Master's degree in Computer Science, Data Science, AI, Statistics, or related field.
• Proven expertise in AI model development and governance.
• Experience with cloud platforms (Azure/AWS) and stakeholder management.

Skills

AI Model Development

ML

Deep Learning & GenAI

AI Governance & Model Validation

Solution Architecture & Design

Azure/AWS Cloud Experience

Strong Communication & Client Mgmt

BFSI Domain Experience

Consulting Background

Agentic AI Governance

Red Teaming

AI Guardrails

Model Validation

Education

Bachelor's/Master's degree in Computer Science/Data Science/AI/Statistics

Job description

AI Governance

Experience: 8-15 Years

We are looking for an experienced AI Govervance with expertise in AI model development, Agentic AI Governance, Red Teaming, AI Guradrails, AI Governance, and Model Validation. The ideal candidate should have strong experience in AI Governance and cloud platforms (Azure/AWS), and stakeholder management.

Key Requirements:

• AI Model Development, ML, Deep Learning & GenAI
• AI Governance & Model Validation
• Solution Architecture & Design
• Azure/AWS Cloud Experience
• Strong Communication & Client Management Skills
• BFSI domain experience preferred
• AI model development, Agentic AI Governance, Red Teaming, AI Guradrails, AI Governance, and Model Validation
• Good to have: Credit Risk, Market Risk, or Liquidity Risk Model Validation experience
• Consulting background preferred

Qualification: Bachelor's/Master's degree in Computer Science, Data Science, AI, Statistics, or related field.