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Job Description
Structured overview of role & requirementsAbout This Role
Architect and build scalable, production-grade AI solutions including Generative AI, LLMs, Agentic AI, and RAG pipelines specifically targeting healthcare workflows.
Lead end-to-end AI system development from prototype to production, ensuring reliability, security, and cost optimization of AI services.
Provide technical leadership by influencing architecture decisions, mentoring engineers, and establishing reusable AI engineering patterns across the organization.
Minimum Requirements
8+ years of experience in AI/ML, Machine Learning, Data Science, or Software Engineering with hands-on production AI system development.
Deep expertise with Generative AI technologies including LLMs, prompt engineering, embeddings, vector search, AI agents, and relevant AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain).
Strong software engineering skills including Python, API development, distributed systems, CI/CD, observability, and cloud deployment experience (AWS or equivalents).
Work Experience Required: 8+ years AI/ML or related experience; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced technical leader capable of independently leading complex AI initiatives and mentoring engineers without direct management responsibility.
Strong background in designing scalable, reliable AI architectures that solve ambiguous business problems within healthcare or similarly regulated domains.
Familiarity with healthcare industry AI challenges, privacy, compliance, and responsible AI deployment practices is advantageous but not mandatory.