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Ernst & Young

Global professional services: consulting, assurance, tax

Manager – Business Consulting Risk - Multiple Teams

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Four to seven 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.
  • Experience with AI red teaming, adversarial testing, or safety assessments.
  • Experience collaborating with cybersecurity, fraud, or enterprise risk teams.
  • Familiarity with agentic AI systems, such as autonomous agents, tool use, and multi-step reasoning, and their associated risks.
  • A Bachelor of Technology in Computer Science, a Master of Computer Applications, or a Master of Business Administration.
  • At least three years of experience in Artificial Intelligence.

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, manually and automatically, 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 Responsible AI 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-premises 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 to technical and non-technical stakeholders.
  • Develop technical documentation, standards, and training materials to support organization-wide Responsible AI adoption.

Desired Qualifications

  • Certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, CISSP, CCSP, or CRISC.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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