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Tier-1 brand and Bangalore metro increase competition, but senior LLM specialization narrows candidate pool.
LLM and analytics skills transfer across industries, but staff-level enterprise analytics experience favors similar backgrounds.
Explicit 7+ years and mandatory LLM/agent, Python and SQL requirements indicate high shortlisting strictness.
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Lead technical development and deployment of AI-powered analytics tools including RAG pipelines, LLM-assisted querying, and agent workflows.
Design, build, and operationalize AI agents that automate data insights generation, anomaly detection, and reporting to transform analytics workflows.
Own and maintain a dynamic AI and data science roadmap for the analytics function, continuously adapting to evolving AI technologies.
7+ years experience in data science, applied AI/ML, or advanced analytics with proven individual technical ownership at Staff level.
Bachelor’s degree in statistics, computer science, math, or related field, or equivalent experience.
Strong Python skills (including pandas, scikit-learn) and SQL proficiency for data science and automation tasks.
Hands-on experience building and shipping AI agents or LLM-based solutions (e.g. RAG pipelines, agent orchestration frameworks) actively used by end-users.
Technically proactive individual contributor who quickly adopts and tests cutting-edge AI tools before they become mainstream.
Comfortable working independently with strong ownership mindset to prioritize and execute automation projects in a fast-evolving AI landscape.
Experienced in collaborating cross-functionally between analytics, IT, and business teams to deliver scalable AI-powered analytics solutions.