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Tier-1 brand and metro location increase competition, but senior, niche Principal ML role reduces qualified applicants.
Highly specialized applied ML leadership role with domain-specific AI/RAG expertise reduces transferability.
Requires deep ML, Java/Python, agentic AI expertise and proven technical leadership, indicating strict filters.
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Lead and influence technical direction for Applied AI/ML across multiple teams and geographies, serving as senior technical voice for the Hyderabad location.
Architect, develop, and productionize agentic AI, Retrieval-Augmented Generation (RAG) systems, and scalable AI/ML platforms using Java, Python, and modern frameworks.
Drive AI-powered developer productivity initiatives by identifying engineering bottlenecks, enabling AI-assisted tooling, and improving code quality and operational efficiency.
Strong hands-on experience in Java and Python with proven ability to design, build, and deploy AI/ML solutions in production.
Expertise in Agentic AI, Retrieval-Augmented Generation (RAG), large language model integration, and prompt engineering.
Demonstrated leadership in cross-country engineering projects with technical authority, not just management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical leader comfortable driving AI/ML architectural strategy and delivering production-grade AI systems within large, geographically distributed teams.
Proven track record of translating complex business problems in financial services or similar regulated, high-scale environments into scalable AI/ML solutions with measurable impact.
Strong focus on improving engineering productivity through AI-driven automation, tooling, and best practices adoption.