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Tier-1 bank, Pune location, and visible AI-ops program role create moderate applicant competition.
Requires banking investor-operations knowledge and model risk governance, limiting cross-industry transferability.
Requires specific AI technical fluency and model governance experience, creating strict candidate filters.
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Oversee and deliver the Investor Operations AI book of work including prioritization, execution, and value delivery.
Guide AI solution design and implementation ensuring alignment with enterprise standards, platforms, and regulatory requirements.
Coordinate cross-team AI initiatives to maximize reuse, drive adoption of enterprise AI tools, and ensure governance and model risk management.
Strong practical expertise in AI including machine learning, NLP, LLMs, and Intelligent Document Processing (IDP).
Technical knowledge of AI solution components: data pipelines, model training, evaluation, and deployment.
Experience with Python ecosystems, LLM architectures, and enterprise/cloud AI platforms.
Bachelor's/University degree or equivalent experience; Work Experience Required: Not explicitly mentioned in the JD.
Operates at senior level in AI operations with strong technical fluency to challenge engineering and data science teams effectively.
Experience managing AI projects in a regulated financial services environment, ensuring compliance and governance.
Skilled in driving AI adoption, standardization, and reuse across multiple teams and regions for scalable impact.