About the role
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Job Details
Role Summary
Embed responsible AI practices into the design, development and operation of AI solutions. The role establishes practical controls for risk, transparency, privacy, security, fairness, human oversight and evidence needed for internal governance or regulated use cases.
Key Responsibilities
- Assess AI use cases for risk across privacy, bias/fairness, safety, transparency, security and regulatory impact.
- Define governance requirements, control checklists, approval gates and evidence expectations for AI projects.
- Support model/system documentation including intended use, limitations, data sources, evaluation and monitoring plans.
- Review prompts, RAG sources, model outputs and agent behaviors for responsible-AI risks and control gaps.
- Partner with architecture and engineering teams to design guardrails, human oversight, logging and escalation mechanisms.
- Coordinate risk reviews, issue remediation and audit-ready evidence with legal, compliance, security and product teams.
- Track applicable AI standards, regulations and enterprise policy changes and translate them into delivery guidance.
Must-Have Skills
- Understanding of responsible AI principles: fairness, accountability, transparency, privacy, safety and human oversight.
- Experience with technology risk, model risk, compliance, data governance, security governance or AI governance.
- Ability to assess AI/LLM system risks and translate policy into practical engineering controls.
- Strong documentation, risk analysis, stakeholder management and communication skills.
- Working understanding of LLM/RAG/agentic systems and their failure modes.
- Ability to maintain traceable evidence, control matrices and governance decisions.
Good-to-Have Skills
- Familiarity with NIST AI RMF, ISO/IEC 42001, EU AI Act concepts or equivalent responsible-AI frameworks.
- Experience with privacy impact assessments, model cards, red teaming, bias testing or AI safety evaluations.
- Knowledge of cloud AI governance capabilities and enterprise security controls.
- Background in regulated sectors such as banking, healthcare, insurance or automotive.
Qualification / Profile
- Degree in Computer Science, AI, Information Security, Risk, Law/Technology, Data Science or related discipline.
- Relevant governance, risk, privacy, security or AI certifications are an advantage.