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AI Risk Jobs: Barclays, Accenture, TCS, and More
Top MNCS in India are building AI risk and governance teams to review and monitor how AI systems are deployed, managed, and controlled at scale.
Enterprises in India are building AI risk and governance teams to review and monitor how AI systems are deployed, managed, and controlled at scale.
As AI adoption accelerates across financial services, consulting, logistics, and enterprise technology, the need for AI governance and risk management is growing. Organizations are strengthening internal review mechanisms, audit processes, and policy frameworks to manage the operational and regulatory impact of intelligent systems. This shift is creating demand for professionals who can assess controls, interpret regulations, and translate technical AI systems into measurable risk standards.
Below are live roles that focus on AI risk and governance.
AI Governance Analyst at Barclays
Barclays is hiring an AI Governance Analyst as part of its Model Risk Management team in Noida. The role focuses on reviewing AI and machine learning models used across banking systems. It includes governance assessments, documentation reviews, and model validation support to ensure internal standards are met.
Candidates should have experience in model risk, quantitative risk, data science, or governance functions. Familiarity with banking regulations and AI model lifecycle controls is important, along with strong analytical and documentation skills.
Noida · Full Time · Hybrid
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Manager, WRB AI Governance at Standard Chartered
Standard Chartered is hiring a Manager for AI Governance within its Wealth and Retail Banking division. The role focuses on building and monitoring AI risk and governance controls for systems used in customer and credit decision processes. It includes oversight of risk assessments, policy implementation, and regulatory alignment across AI initiatives.
Requirements include experience in banking risk, model validation, compliance, or AI risk and governance. Knowledge of AI lifecycle risk, internal control frameworks, and regulatory expectations is valuable.
Bengaluru · Full Time · On-Site
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Responsible AI Advisor at Accenture India
Accenture is hiring for a Responsible AI governance role focused on helping enterprise clients adopt AI systems in a compliant and controlled manner. The position involves supporting the design and implementation of Responsible AI frameworks, conducting AI risk and impact assessments, and aligning AI programs with internal policies and regulatory expectations.
The role works closely with cross-functional teams to embed governance controls across the AI lifecycle. Candidates, in this case would have experience in AI governance, risk management, regulatory advisory, data privacy, or technology compliance. Familiarity with responsible AI principles, global regulatory trends, and structured risk assessment methodologies is important.
Bengaluru · Full Time · On-Site
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Agentic AI Governance Lead at Capgemini
Capgemini is hiring an Agentic and Generative AI Governance and Oversight Lead to establish and manage a comprehensive governance framework for AI systems. The role focuses on ensuring ethical, secure, and compliant deployment of generative and agentic AI technologies across the organization. It includes leading policy-driven compliance programs, managing the lifecycle of AI agents and partner assets, and maintaining oversight mechanisms to reduce risks such as bias, privacy issues, and regulatory non-compliance.
The requirements include over 12 years of professional experience, including at least 3 years of hands-on exposure to generative or agentic AI, compliance, risk management, auditing, legal, or consulting.
Hyderabad · Full Time · On-Site
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Senior and Lead AI Governance QA Auditor Roles at UPS
UPS is hiring for both Senior and Lead AI Governance QA Auditor positions within its AI oversight and compliance function. These roles focus on auditing AI systems to ensure transparency, explainability, regulatory alignment, and internal control compliance. The responsibilities include reviewing AI models, assessing risk frameworks, validating documentation, and ensuring governance standards are consistently applied across deployments.
The Senior role focuses on hands-on audit execution, model evaluation, and compliance testing. The Lead role includes oversight responsibilities, coordination across teams, and guiding governance strategy and audit cycles. Ideal candidates would have experience in AI systems audit, data science, model validation, risk management, or compliance functions. Strong knowledge of AI explainability techniques, governance frameworks, and technical skills such as Python are important for both roles.
Chennai · Full Time · On-Site
Apply to Senior AI Governance QA Auditor Role · Apply to Lead AI Governance QA Auditor Role
Senior IT Architect I – AI Risk Manager at Nielsen
Nielsen is hiring a Senior IT Architect I – AI Risk Manager to support governance and risk oversight across its AI and data platforms. The role focuses on identifying and assessing risks associated with AI systems, ensuring that models and related technologies align with internal control standards and enterprise risk frameworks.
The position works across engineering, data science, and security teams to evaluate architecture decisions, review controls, and strengthen compliance processes around AI deployments. Candidates who have strong experience in IT architecture, risk management, security or compliance frameworks, and enterprise technology environments will fit well here. Familiarity with AI systems, data governance, and lifecycle risk management is considered important.
India · Full Time · On-Site
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Responsible AI Consultants/AI Ethicists at Tata Consultancy Services
TCS is hiring for an AI governance role within its enterprise AI and digital transformation programs. The position focuses on establishing governance controls across AI initiatives, supporting responsible AI adoption, and ensuring alignment with internal policies and global regulatory expectations. The role includes reviewing AI use cases, conducting risk assessments, and embedding governance checkpoints across the AI lifecycle.
The candidate will work closely with business, technology, and compliance teams to monitor AI deployments and strengthen control frameworks. Experience in AI governance, model risk management, compliance programs, enterprise risk functions, or regulatory advisory is typically expected. Familiarity with global AI regulations, risk assessment methodologies, and internal control frameworks is considered important.
Bengaluru · Full Time · On-Site
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AI Risk and Governance in focus
AI risk and governance is becoming a formal function inside banks, consulting firms, and technology companies. As AI systems move into real business operations, companies need structured oversight around risk, compliance, model validation, and explainability.
Professionals with backgrounds in cybersecurity, risk management, compliance, data science, audit, or IT architecture can see these roles as strong transition opportunities. Many of the core skills, such as control testing, documentation, risk assessment, and model understanding, already overlap with AI governance responsibilities.
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