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Tier-1 brand with specialized LLM/agent requirements and seniority reduces volume but keeps competition moderate.
Machine learning skills transfer across industries, but healthcare domain and responsible AI requirements increase sensitivity.
Multiple explicit minimum years and mandatory AI, cloud, and production operations requirements increase filter strictness.
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Lead design, development, deployment, and improvement of AI/ML software solutions including Generative AI, LLMs, and traditional ML models aligned with healthcare needs.
Provide technical leadership and mentorship on AI initiatives such as Chatbots, conversational AI, and responsible AI practices ensuring ethical and regulatory compliance.
Collaborate with cross-functional teams to integrate AI into cloud modernization and digital-first projects, ensuring alignment with enterprise AI strategies and business objectives.
Undergraduate degree or equivalent experience.
8+ years of software engineering experience; 5+ years building AI/ML solutions including LLMs and Generative AI.
4+ years of experience with Web/API development and hosting applications in cloud environments (AWS preferred).
Strong skills in Python or Java; solid experience with Chatbots, Conversational AI, NLP, Agentic AI frameworks, and production-grade security and operations.
Experienced senior engineer with deep expertise in AI/ML solution architecture and delivery in complex enterprise healthcare environments.
Demonstrated ability to lead AI projects integrating large language models, generative AI, and agent orchestration frameworks with cloud-native, production-grade systems.
Proven collaborator who can align AI technical strategies with business goals and mentor multidisciplinary teams on responsible AI principles and best practices.