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Tier-1 brand and metro location increase competition, offset by seniority and niche Generative AI specialization.
Highly domain-specific Generative AI and regulated healthcare experience required, limiting cross-industry transferability.
Multiple explicit seniority thresholds and deep generative AI, platform, and regulatory requirements enforce strict shortlisting.
Lead enterprise-wide Generative AI strategy, architecture, and deployment across healthcare, product engineering, clinical, regulatory, and operational domains.
Architect and oversee scalable AI platforms (LLMs, Agentic AI, RAG, Knowledge Graphs, Multimodal models) to enable healthcare-specific AI solutions with measurable business impact.
Define AI governance, safety, compliance, explainability frameworks, mentor technical teams, and engage with executive stakeholders and external innovation councils.
15+ years in software engineering, AI, machine learning, or data science, including 8+ years developing AI/ML systems and 5+ years specializing in Generative AI.
Bachelor's or higher degree in Computer Science, AI, Machine Learning, Data Science, or related quantitative field (B.E/B.Tech/Masters/PhD).
Demonstrated leadership in enterprise-scale AI transformations with experience architecting production-grade AI platforms.
Required technical expertise in Generative AI models, advanced AI techniques, AI frameworks/platforms, cloud/MLOps services, and vector databases as explicitly listed.
Strategic technical leader able to influence executives and cross-functional teams to drive AI adoption with measurable outcomes in healthcare.
Experienced in architecting and operationalizing large-scale, compliant AI platforms tailored for regulated healthcare environments.
Deep expertise in Generative AI innovation including prompt engineering, fine-tuning, AI governance, and emerging AI technologies focused on impact and safety.