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Tier-1 brand, mid-level experience, and metro location drive high competition despite specialized AI skill needs.
Core ML/LLM skills are transferable, though healthcare compliance and PII handling raise moderate domain sensitivity.
Mandatory 4 years AI experience plus extensive LLM, MLOps, and cloud requirements enforce high shortlisting strictness.
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Lead design and delivery of cloud-native AI and data platforms on AWS for healthcare systems, owning end-to-end product lifecycle.
Develop and maintain production-grade Python services with LLM integration and RAG/vector search capabilities for AI-powered applications.
Implement evaluation, responsible AI controls, MLOps practices, and operational monitoring ensuring scalable, secure, compliant AI solutions.
Bachelor's degree in Engineering (Computer Science/Engineering preferred).
Minimum 4 years of relevant AI engineering experience with proven production GenAI delivery.
Strong Python programming expertise including API/service development and testing.
Experience with AWS cloud services, container orchestration (ECS/EKS), and DevOps tools (CI/CD, IaC).
Experienced in building scalable AI/LLM systems with focus on production readiness, evaluation, and responsible AI practices.
Capable of translating ambiguous product requirements into technical plans, balancing trade-offs related to accuracy, latency, cost, and safety.
Skilled in mentoring peers and leading design reviews to elevate AI engineering standards in a healthcare-focused environment.