ENGAGEMENT OF SPECIALIST CADRE OFFICERS ON FIXED TERM EMPLOYMENT BASIS
(ADVERTISEMENT NO: CRPD/SCO/2026-27/30)
ONLINE REGISTRATION OF APPLICATION & PAYMENT OF FEES: FROM 19.10.2026 TO 09.11.2026
- Nature of Engagement : - Fixed Term Employment
- VACANCY : - 1
- Age in years (As on 30.09.2026) : - 35-50 yrs.
BASIC QUALIFICATION : -
- Mandatory:
- B.E. / B.Tech / M.Tech in Computer Science / IT /Electronics / Electrical & Electronics / Electronics & Communication or equivalent / M Sc (Statistics/Computer Science)/MA (Statistics)/M Stat /MCA from recognized University/ Institution.
- Preferred:
- MBA / PGDM or equivalent with specialization in financeAny certification in ML /AI/Natural Language Processing, web Crawling and Neural Networks.
WORK EXPERIENCE : -
- Mandatory: Minimum 10+ years experience in the Banking/BFSI/ Information Technology sector, of which at least 2+ years must be in a senior leadership role involving AI governance, responsible AI, model risk management, regulatory compliance, data privacy, information security or technology risk and business transformation.The senior leadership experience (2+ years) should include:Working with multiple stakeholders across Business, Risk, Compliance, Legal, Data Privacy, Information Security, Internal Audit, IT, Data and AI functions.Leading a sizeable team of AI governance, model risk, compliance, data science, technology risk or assurance professionals. Experience solely in an individual-contributor role shall not count towards the required three years of senior leadership experience.Leading the formulation, implementation or oversight of enterprise policies, standards and control frameworks for AI/ML, generative AI, agentic AI or analytical models.Leading model validation, risk assessment, compliance review, audit coordination, issue remediation or governance reporting for material AI/ML models and AI-enabled systems.Experience in some of the following areas (Business Domain):AI governance and responsible AIModel risk management and independent validationRegulatory compliance and supervisory engagementData privacy and personal-data protectionInformation security and technology riskThird-party and outsourced AI riskConsumer protection, fairness and explainabilityAudit, assurance, issue management and remediation
- Preferred:
- Experience in Scheduled Commercial Banks/ BFSI is preferred.Experience in establishing AI governance or model-risk frameworks at enterprise scale and managing material models under regulatory, audit or internal governance requirements shall be preferred.Training & Teaching experience will not be counted for eligibility.Note: Candidates are required to produce up-to-date and full Experience Certificate, unambiguously indicating:(i) Nature of duties,(ii) Dates and duration of experience,(iii) Level / position,(iv) Responsibilities etc. issued by the employer(s).However, if the candidate is unable to submit an Experience Certificate on the lines indicated above, any document unambiguously indicating the experience, nature of duties and the period claimed may be submitted and it would be considered on merit at the discretion of the Bank and the decision of the Bank shall be final.
SPECIFIC SKILLS : -
- Experience in leading the development and operations of (Technology):AI/ML model validation, including conceptual soundness, data assessment, performance testing, benchmarking, sensitivity analysis, outcome analysis and ongoing monitoring.Validation and control assessment of generative AI and agentic AI solutions, including grounding, hallucination, toxicity, prompt injection, data leakage, tool-use, autonomy and human-oversight risks.Model inventory, risk tiering, materiality assessment, documentation, approval, deployment, monitoring, change management, recalibration and retirement.Automated governance, risk and compliance workflows, model monitoring, evidence repositories, policy controls and management dashboards.Evaluation of third-party models, foundation models, APIs, AI platforms and externally sourced data or services.Experience in leading the development and operations of (Business Domain):AI governance frameworks, responsible AI policies, standards, procedures and control libraries.Validation and compliance oversight for AI/ML models used in credit, risk, fraud, compliance, operations, marketing, customer service and human-resource processes.Privacy impact assessments, AI risk assessments, algorithmic impact assessments and control reviews for material use cases.Governance of customer-impacting and automated decision systems, including fairness, explainability, transparency, human review, overrides and grievance handling.Regulatory examinations, internal and external audits, governance committees, issue tracking, remediation and closure validation.Third-party AI risk assessment, contracting controls, ongoing monitoring, concentration risk and exit or substitution planning.
- Strong understanding of (Platform):
- End-to-end AI and model lifecycle governance, including use-case intake, risk classification, development, validation, approval, deployment, monitoring, change control, incident management and decommissioning.Model-risk management, model inventory, ownership, materiality, validation independence, approval authorities, performance thresholds, exceptions and governance committees.Responsible AI principles covering fairness, accountability, transparency, explainability, safety, reliability, privacy, security and human oversight.Applicable RBI directions and guidance, the Digital Personal Data Protection Act and Rules, information-security requirements and other regulatory or legal obligations relevant to AI-enabled banking.MLOps and LLMOps controls, model and prompt versioning, evaluation, monitoring, controlled promotion and rollback across development, testing and production environments.Generative AI and agentic AI architectures, including foundation models, retrieval-augmented generation, vector databases, APIs, MCP, guardrails, tool access and orchestration.Cloud-native and on-premises deployment.
Detail description of Job Profile, Role, Responsibilities, and Functions : -
- Job Profile:
- Lead the Banks AI governance and compliance function and establish an enterprise-wide framework for machine learning, generative AI and agentic AI. Develop, maintain and enforce AI governance policies, standards, procedures, risk-classification methodologies, control requirements and approval processes Lead or oversee independent validation and periodic review of material AI/ML models and AI-enabled systems. Establish governance controls for generative and agentic AI. Ensure compliance with applicable RBI directions and guidance, the Digital Personal Data Protection framework, information-security requirements, internal policies and other legal or regulatory obligations relevant to AI-enabled banking. Coordinate AI risk assessments, privacy impact assessments, security assessments, compliance reviews and approval processes before production deployment and following material changes. Oversee third-party AI governance, including due diligence, contractual safeguards, data-use restrictions, validation rights, Establish monitoring and reporting mechanisms for model performance, drift, bias, control exceptions, policy breaches, incidents, regulatory observations, audit findings and remediation status. Convene or support relevant governance committees and present material AI risks, exceptions, incidents, compliance status and remediation progress to senior management and appropriate Board-level committees. Coordinate regulatory inspections, internal and external audits, model reviews and compliance testing, and ensure timely, evidence-based closure of observations and remediation actions. Collaborate closely with Business, Risk, Compliance, Legal, Data Privacy, Information Security, Internal Audit, IT, Data and AI teams to embed governance controls into the AI lifecycle and enterprise platforms. Build and lead a multidisciplinary team of AI governance, model validation, compliance, technology risk, privacy and assurance professionals. Promote governance-by-design, standardised documentation, reusable controls, automated evidence capture and continuous improvement across the Banks AI ecosystem
- KRAs:Collaborate with business units to identify needs and challenges.Model Validation and testingAlign AI solutions with business objectives.Develop and enforce AI governance policies (ethics, compliance).Ensure regulatory adherence (RBI, DPDP etc).
- Annual CTC Upper Range In Lakhs : - Upper range - Rs. 120.00 Lacs
- Fixed Term Employment Period : - 3 Years. May be renewed for further period of 02 years at the discretion of Bank at mutually agreed terms and conditions (Total engagement period should not exceed 05 years).
- Place of Posting : - Mumbai or anywhere in India, in case of any administrative requirement..