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Tier-1 brand and Bangalore increase applicant density, but seniority and GenAI specialization narrow the pool.
Requires deep GenAI/LLM expertise plus healthcare claims/payment integrity knowledge, limiting cross-industry transferability.
Explicit 8+ years, 3+ years leadership, and mandatory GenAI, platform and governance skills enforce strict filters.
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Lead design and implementation of Generative AI, Large Language Model, and Agentic AI capabilities for the Vetting Agent initiative to support payment integrity.
Define LLM strategy, prompt engineering, agent orchestration, and evaluation frameworks ensuring outputs are explainable, auditable, and suitable for human review.
Collaborate with engineering, product, SME, and governance teams to deliver scalable AI workflows, quality gates, and human-in-the-loop controls.
8+ years in AI, data science, advanced analytics, AI engineering, or related solution delivery.
3+ years leading AI initiatives, technical teams, or complex cross-functional AI projects.
Hands-on experience building enterprise GenAI / LLM solutions, including designing RAG workflows, prompt frameworks, or AI agents.
Proficient in Python and SQL with knowledge of enterprise data platforms (e.g., Databricks).
Experienced AI leader with a strong technical background in GenAI, agentic AI, and orchestration frameworks.
Skilled in translating complex business problems into structured AI workflows and evaluation standards.
Familiarity with healthcare, claims, reimbursement policy, or payment integrity domains is a plus but not mandatory.