JOB SUMMARY We are seeking a highly skilled Tech Lead - AI & Java Full Stack with Healthcare domain experience to lead the design, development, and delivery of scalable AI-powered healthcare applications. The ideal candidate will combine expertise in Java Full Stack development, Generative AI technologies, cloud platforms, and healthcare systems while providing technical leadership to cross-functional teams. Key Responsibilities Technical Leadership Lead and mentor development teams in designing and delivering enterprise healthcare applications. Define solution architecture, coding standards, and technical best practices. Conduct code reviews and ensure application quality, scalability, and security. Drive technical discussions and design decisions across teams. AI & Generative AI Development Design and implement AI-powered healthcare solutions using LLMs and Generative AI technologies. Develop AI assistants, intelligent search, chatbot, and automation solutions. Build and optimize RAG-based applications and AI agent frameworks. Integrate Azure OpenAI/OpenAI services into enterprise applications. Java Full Stack Development Design and develop applications using Java, Spring Boot, Microservices, and REST APIs. Develop responsive front-end applications using Angular, React, JavaScript, HTML, and CSS. Implement scalable and secure backend services. Integrate applications with cloud, databases, and third-party systems. Healthcare Solutions Work on Healthcare Payer, Provider, Claims, Enrollment, Care Management, and Clinical applications. Ensure compliance with healthcare standards and regulations. Collaborate with business stakeholders to understand healthcare workflows and requirements. Support data-driven healthcare initiatives and digital transformation projects. Agile & Delivery Management Collaborate with Product Owners, Scrum Masters, Architects, and business teams. Participate in sprint planning, estimations, and release activities. Manage technical risks, dependencies, and project deliverables. Ensure timely and high-quality solution delivery. Required Qualifications Strong experience in Java, Spring Boot, Microservices, REST APIs. Hands-on experience in Angular or React, JavaScript, HTML, and CSS. Expertise in Generative AI, LLMs, Prompt Engineering, RAG, and AI Agents. Experience with Azure OpenAI, OpenAI APIs, LangChain, or similar AI frameworks. Strong knowledge of SQL/NoSQL databases. Experience with Azure, AWS, or GCP cloud platforms. Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices. Strong leadership, problem-solving, and communication skills. Mandatory Skill 8+ Years Java Development 5+ Years Spring Boot & Microservices, REST API Development 4+ Years Angular or React Development, JavaScript, HTML & CSS 3+ Years Generative AI & Large Language Models (LLMs) 2+ Years Prompt Engineering 2+ Years RAG (Retrieval-Augmented Generation) 2+ Years AI Agents & Agentic AI Frameworks 2+ Years Azure OpenAI / OpenAI APIs 2+ Years LangChain or Similar AI Frameworks 5+ Years SQL & NoSQL Databases 3+ Years Azure, AWS, or GCP Cloud Platforms 2+ Years Docker & Kubernetes 2+ Years CI/CD & DevOps Practices 2+ Years Technical Leadership & Team Mentoring Required Healthcare Domain Experience (Payer, Provider, Claims, Enrollment, Care Management) Top Mandatory Skills Java, Spring Boot, Microservices, REST APIs Generative AI, LLMs, Prompt Engineering RAG, AI Agents, LangChain Azure OpenAI / OpenAI APIs Angular or React, JavaScript, HTML, CSS SQL & NoSQL Databases Azure/AWS/GCP Docker, Kubernetes, CI/CD Healthcare Domain Experience Technical Leadership & Solution Architecture Preferred Qualifications Healthcare domain experience in Payer, Provider, Claims, Enrollment, or Care Management. Knowledge of FHIR, HL7, HIPAA, EDI, and healthcare interoperability standards. Experience with enterprise architecture and cloud-native solutions. Certifications AI, Cloud, or Java certifications preferred.