Job Summary

The opportunity: Manager-TMT-Business Consulting Risk-CNS - Risk - Digital Risk - Mumbai.

Responsibilities

- Identify, assess, and mitigate technical risks across Responsible AI dimensions, including bias, fairness, robustness, explainability, privacy, and model/data security.
- Perform quantitative AI model testing using internal testing toolkits and external evaluation platforms.
- Conduct AI red teaming assessments (manual and automated) to identify safety, security, misuse, and adversarial risks.
- Design and implement Responsible AI frameworks for bias detection, fairness evaluation, explainability, and robustness.
- Build and maintain automated AI validation, monitoring, and alerting pipelines across development and production environments.
- Implement model interpretability and explainability solutions to support internal audits, regulatory reviews, and stakeholder trust.
- Define and operationalize RAI metrics, dashboards, and monitoring systems for ongoing compliance and risk tracking.
- Design and operationalize AI governance processes for model lifecycle management, approvals, and change control.
- Configure, deploy, and monitor AI systems in cloud and on premise environments using MLOps, LLMOps, and DevOps practices.
- Partner with cybersecurity, fraud, and information security teams to address AI driven security, scam, and abuse risks.
- Translate AI regulations, laws, and ethical standards into technical requirements, controls, and engineering guardrails.
- Communicate AI risks, controls, and business impact clearly to both technical and non technical stakeholders.




- Develop technical documentation, standards, and training materials to support organization wide Responsible AI adoption.

Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related technical field.
- 47 years of experience in AI/ML engineering, data science, AI risk, or AI governance roles.
- Hands on experience building, testing, deploying, and monitoring AI/ML systems in production.
- Strong understanding of Responsible AI risks, including bias, fairness, robustness, explainability, privacy, and security.
- Experience with quantitative AI testing, validation frameworks, and evaluation platforms.
- Working knowledge of MLOps / LLMOps / DevOps and CI/CD workflows for ML systems.
- Ability to translate regulatory and governance requirements into actionable technical controls.
- Robust communication skills, including experience working with cross functional or client facing teams.
- Experience with AI red teaming, adversarial testing, or safety assessments.
- Experience collaborating with cybersecurity, fraud, or enterprise risk teams.
- Familiarity with agentic AI systems (e.g., autonomous agents, tool use, multi step reasoning) and associated risks.
- Preferred Certifications o Azure AI Engineer Associate/AWS Machine Learning Specialty/Google Professional Machine Learning Engineer o CISSP/CCSP/CRISC

Skills and attributes To qualify for the role you must have
- Bachelor of Technology in Computer Science
- Master of Computer Applications
- Master of Business Administration

Experience
- Artificial Intelligence (3+ years)

📌 Manager - Business Consulting - Digital Risk (Mumbai)
🏢 EY
📍 Mumbai