Define and own the end-to-end solution architecture for AI/ML-powered Java applications, ensuring alignment with enterprise technology standards, scalability requirements, and business objectives.
Lead the evaluation and adoption of AI tools including GitHub Copilot and Claude to accelerate code generation, automate testing, and improve developer productivity across engineering teams.
Design RESTful and event-driven microservices in Core Java that expose AI/ML model inferences as consumable APIs, integrated with ReactJS front-end applications for seamless end-user experiences.
Architect and manage Kubernetes-based container orchestration strategies for deploying, scaling, and monitoring AI/ML models in production environments with zero-downtime release capabilities.
Collaborate with data science and ML engineering teams to integrate machine learning models into Java-based production systems, ensuring model versioning, monitoring, and performance optimization.
Conduct architecture reviews, proof-of-concept evaluations, and technical due diligence exercises to validate AI/ML solution approaches before committing to full-scale development.
Mentor and guide a team of senior and mid-level engineers in Chennai on Core Java best practices, ReactJS component architecture, Kubernetes deployment strategies, and responsible AI development principles.
Drive the creation of architecture decision records, solution design documents, and technical roadmaps that align AI/ML investments with long-term enterprise digital transformation goals.
Not sure where to start? Ask IVY.
IVY
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