Responsible AI Consultant Center of Excellence

Overview

Lead and mentor a team within Accenture's Responsible AI Center of Excellence, reviewing and assessing AI, Generative AI, and Agentic AI solutions for ethical, technical, privacy, security, and governance risks.

What you'll do

• Lead and mentor team members, provide quality reviews, oversee case allocation, and provide guidance on complex assessments.
• Validate RAI screening and support detailed Responsible AI assessments for traditional AI and Generative AI use cases across internal and client initiatives.
• Review use cases against Accenture's Responsible AI principles and internal standards.
• Identify ethical, technical, privacy, security, and governance risks associated with AI solutions.
• Review Agentic AI and GenAI solution architectures for emergent risks from a Responsible AI standpoint.
• Provide deeper technical evaluation and advice on RAI mitigation strategies for Agentic AI and GenAI solutions.
• Prepare clear assessment outputs and mitigation recommendations in collaboration with delivery teams.
• Support reassessments, clarifications, and report walkthroughs as required.
• Represent the RAI CoE in stakeholder discussions as a senior reviewer.
• Collaborate with stakeholders including Delivery Leads, Legal, Compliance, and RAI SMEs across the end-to-end RAI review process.
• Provide training for new recruits.
• Support preparation of GenAI and Agentic model POVs.
• Contribute to continuous improvement of RAI processes, templates, and knowledge assets.

What you'll need

• Experience (4-8 years) in analytics, AI, data science, risk, compliance, governance, or technology advisory roles.
• Good understanding of AI, Generative AI, and Agentic AI concepts and model lifecycle.
• Strong analytical and documentation skills with diligence.
• Ability to clearly communicate risks and recommendations to technical and nontechnical stakeholders.
• Experience working in cross-functional or global teams.
• Strong stakeholder engagement and relationship management skills across diverse global teams.
• Bachelor's degree or equivalent.

Nice to have

• Direct exposure to Generative AI and Agentic AI tools/frameworks, with practical understanding of AI model lifecycle best practices.
• Good exposure to Responsible AI, AI ethics, model risk management, or compliance frameworks.
• Familiarity with enterprise AI governance, risk assessment, or regulatory concepts is an advantage.
• Proficiency in Python, MS Excel, and PowerPoint for analysis, documentation, and presentation needs.

Details

• Location: Bengaluru.
• Travel may be required, varying between 0-100% based on business needs and client engagements.