Java AI/ML Solution Architect
First seen by Alion on Nov 8, 2026.
Job description:
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.
Roles & Responsibilities:
We are seeking a seasoned Java AI&ML Solution Architect with 12-15 years of hands-on experience to join our engineering leadership team in Hyd/Chennai/Pune/Bangalore, responsible for designing and delivering enterprise-grade AI/ML-integrated solutions using Core Java and modern cloud-native technologies.
The ideal candidate will architect scalable, production-ready AI/ML pipelines and integrate large language model capabilities using tools such as GitHub Copilot and Claude into existing Java-based enterprise applications.
This role demands deep expertise in Core Java and microservices design patterns, combined with the ability to leverage Kubernetes for container orchestration and deployment of AI/ML workloads at scale across hybrid and cloud environments.
The architect will lead the design of full-stack solutions incorporating ReactJS-based front-end interfaces that interact seamlessly with AI-powered backend services, ensuring high performance and responsive user experiences.
Candidates must demonstrate strong hands-on experience with AI/ML model integration, prompt engineering with Claude, and accelerating development workflows using GitHub Copilot across large development teams.
The role requires active collaboration with business stakeholders, product managers, and cross-functional engineering squads in Chennai to translate complex business requirements into technically sound AI-driven architectural blueprints.
Proficiency in defining Kubernetes-based CI/CD strategies, service mesh configurations, and cloud-native deployment patterns is essential for ensuring reliability, scalability, and security of AI/ML solution workloads.
You will establish architectural standards, conduct design reviews, and mentor senior engineers on best practices in Core Java development, AI/ML solution design, ReactJS integration, and responsible AI governance.
Skills
AI, Java, K8s, Kubernetes, ML, Machine Learning