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Strong employer brand, metro location, senior generalist role with broad AI and distributed-systems skills increases competition.
Core data engineering and vectorization skills transfer across industries, though financial-data experience is beneficial.
Explicit 7+ years and mandatory distributed-systems, NLP, and vector-database skills make shortlisting stringent.
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Lead design and development of scalable, resilient AI-ready data pipelines for ingestion and vectorization of large financial document sets.
Drive system reliability and scalability of distributed, fault-tolerant data platforms in a cloud-native environment supporting advanced AI/ML features.
Provide technical leadership including architectural decisions, mentoring engineers, collaboration with data science/AI teams, and implementing testing and monitoring frameworks.
7+ years professional software engineering experience with production-grade system design and maintenance.
Strong programming skills in Python or equivalent OOP languages (Java, C#, C++).
B.Tech/BE/M.Tech/ME in Computer Science or equivalent from reputed institution.
Experience with distributed systems, scalable data pipelines, Linux development environment, and version control (Git, CI/CD).
Demonstrated expertise in distributed data systems and retrieval architectures for unstructured financial data.
Experience collaborating with AI and data science teams to build AI-powered search, recommendation, and generative AI features.
Architectural leadership and mentoring capabilities in cloud-native, data-intensive applications involving NLP, vector databases, and modern data engineering practices.