Java AIML Solution Architect

InfoVision Inc.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

InfoVision Inc. seeks a seasoned Java AI/ML Solution Architect to lead end-to-end architectures for enterprise-grade AI-enabled applications.

The role requires 12–15 years of hands-on delivery across Core Java, microservices, and cloud-native platforms. You will evaluate tools like GitHub Copilot and Claude to accelerate development, design scalable RESTful and event-driven services, and ensure production-grade model integration with Kubernetes-managed deployments.

Qualifications

• 12–15 years of hands-on experience in Java/AI-ML solution architecture.
• Proven ability to design scalable, production-grade enterprise applications.
• Deep expertise in Core Java, microservices, cloud-native patterns, and container orchestration.

Responsibilities

• Define and own end-to-end solution architecture for AI/ML-powered Java applications.
• Lead evaluation and adoption of AI tools to accelerate development and testing.
• Design RESTful and event-driven microservices exposing AI/ML model inferences as APIs.
• Architect and manage Kubernetes-based deployments for AI/ML workloads in production.
• Mentor senior and mid-level engineers across multiple delivery hubs.
• Collaborate with data science teams to integrate ML models into production systems.
• Conduct architecture reviews and due diligence on AI/ML solution approaches.

Skills

Core Java

ReactJS

Kubernetes

AI/ML

Microservices

Architecture design

GitHub Copilot

Claude

Tools

GitHub Copilot

Claude

Kubernetes

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.