About the job In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner , Dautom is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.

Job Role: AI Governance Specialist

Work Location: Remote (India)

Notice Period: Immediate to 30 Days

We are looking for an experienced Senior AI Engineer (Lead Role) with a strong background in software, data, ML, or AI engineering.

Key Requirements:

- 8–10+ years of experience in technology governance, AI governance, data governance, model governance, risk management, compliance, or related domains.
- Experience in banking, financial services, or other regulated industries, with understanding of enterprise governance, regulatory compliance, technology risk, privacy, security, audit readiness, and control documentation.
- Practical experience developing or implementing governance frameworks, policies, standards, procedures, controls, approval workflows, inventories, and lifecycle oversight processes.
- Knowledge of AI, machine learning, generative AI, agentic AI, model lifecycle, responsible AI, AI testing, guardrails, monitoring, and AI risk assessment practices.
- Preferred experience establishing AI governance programs in large enterprises and supporting regulatory engagements, audits, compliance reviews, model governance, or responsible AI frameworks.
- Experience supporting AI regulatory compliance across multiple countries or jurisdictions would be highly beneficial, including the ability to interpret local regulatory expectations and align them to enterprise AI governance controls.




- Familiarity with AI lifecycle platforms, monitoring solutions, dashboards, and governance reporting tools is preferred.

Required Skills

- Strong understanding of AI governance frameworks, responsible AI principles, AI lifecycle oversight, governance documentation, control design, and approval processes.
- Working knowledge of applicable AI regulatory and standards frameworks, including CBUAE AI/ML and enabling technology guidelines, NIST AI Risk Management Framework, EU AI Act, ISO/IEC 42001, and related privacy, data protection, cybersecurity, model risk, and consumer protection expectations.
- Ability to translate regulatory and standards requirements into practical governance controls, evidence requirements, assessment criteria, reporting obligations, and lifecycle review checkpoints.
- Ability to assess AI use cases across business value, risk, compliance, privacy, security, explainability, fairness, ethical impact, robustness, safety, transparency, and human oversight.
- Working knowledge of banking regulations, model risk, data protection, information security, technology risk, compliance evidence, audit readiness, and mitigation tracking.
- Ability to maintain AI inventories, risk ratings, approval records, monitoring obligations, review schedules, decision logs, action trackers, and governance artifacts.
- Strong reporting and communication skills, including preparation of dashboards, committee packs, approval recommendations, management information, and executive summaries.
- Robust stakeholder engagement skills with the ability to work across business, technology, risk, compliance, legal, security, model risk, data protection, audit, AI Council, and governance committees.

? Interested candidates can share their updated CV: [email protected]

📌 AI Governance Specialist (India)
🏢 Dautom
📍 India