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Senior, specialized AI/data role in Mumbai with broad skillset creates moderate competition.
Requires finance domain expertise plus specialized AI/data engineering skills, limiting cross-industry transferability.
Explicit 10-15 years plus specialized AI/data and tech stack requirements make shortlisting highly strict.
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Lead architecture, design, and implementation of enterprise-scale data platforms including warehousing, analytics, reporting, and data distribution.
Design and implement AI/GenAI-powered solutions using LLMs, RAG architectures, conversational AI, and enterprise search over structured/unstructured data.
Lead AI governance, security, model risk, and responsible AI practices while managing and mentoring data engineering teams and collaborating with stakeholders.
10 to 15 years of work experience in data engineering and AI roles.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
Strong expertise in Data Engineering, Data Architecture, SQL, ETL, scalable data pipelines, and cloud platforms (preferably Snowflake).
Strong domain knowledge in Finance, Investment Banking, or Financial Services and experience with AI/GenAI technologies including LLMs, RAG, prompt engineering, and AI governance.
Experienced leader able to manage and mentor data engineering teams in a complex enterprise environment with focus on innovation and engineering excellence.
Strategic thinker with deep knowledge of AI/GenAI technical implementations including orchestration, model risk, and responsible AI frameworks.
Comfortable working cross-functionally with business stakeholders, architects, and delivery teams driving automation, Agile methods, and technology innovation.