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Tier-1 brand plus senior ML manager and metro location increases competition.
Requires ML/LLM and PHI-aware healthcare experience, making cross-industry transfer limited.
Extensive mandatory tech stack, leadership and PHI/Responsible AI requirements imply strict screening.
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Lead design, development, and delivery of scalable enterprise Java applications on Azure, ensuring adherence to architectural standards and best practices.
Drive AI/ML initiatives including design, development, and deployment of AI-powered features leveraging NLP, LLMs, and classical machine learning with end-to-end ML lifecycle ownership.
Mentor engineering teams and collaborate cross-functionally to align technology roadmaps, cloud adoption, and Responsible AI practices with business needs.
Hands-on experience with Java (8/11/17/21), Spring Boot, REST APIs, Hibernate/JPA, SQL Server, and Microsoft Azure cloud technologies.
Experience with build tools Maven and Gradle, CI/CD pipelines (Jenkins or GitHub Actions), and deployment automation.
Proven expertise in scalable, secure enterprise application development and Object-Oriented Programming principles.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in leading modern Java-based application development in cloud (Azure) environments with enterprise-scale delivery.
Demonstrates strong capabilities in integrating AI/Generative AI solutions and managing full ML lifecycle in production systems.
Skilled in collaborating with cross-functional teams for application modernization and implementing Responsible AI governance frameworks.