Saibaba Colony Coimbatore Tamil Nadu Lead java engineer ai native Jobs – 13 Open Jobs Today

Lead Java Engineer - AI Native
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Azure
- English
- Java
- Health insurance
- Paid time off
Custom Software Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
Azure Cloud Lead Architect - Coimbatore
LTM —Coimbatore, Tamil Nadu
- Azure
- DevOps
- Windows
Quick apply
Solution / Enterprise Architect- Application Engineering
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
- Azure
- Public speaking
- Java
- Health insurance
- Paid time off
7d
Architect AI - SEG
Presidio India —Coimbatore, Tamil Nadu
- Azure
- Java
- Databases
Senior Full Stack Engineer
RunLoyal —Coimbatore, Tamil Nadu
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
- Work from home
Quick apply
14d
Data Platform Architect
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Computer Science
- Java
- Databases
4d
Principal Architect
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Hybrid work
- Azure
- Java
- AWS

More jobs to discover

Find similar jobs that you might be interested in.

Custom Software Engineer
Accenture —Coimbatore, Tamil Nadu
Your work focuses on addressing unique business requirements through innovative and high-quality software delivery, ensuring that solutions are robust and…
Software Engineer - EIS V12 with Java
EPAM Systems, Inc. —Coimbatore, Tamil Nadu
Design and develop custom solutions within EIS PolicyCore v12. 3 to 5 years of experience in Java development with the EIS PolicyCore v12 platform.

I want to receive the latest job alerts for lead java engineer ai native in saibaba colony coimbatore tamil nadu

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead java engineer ai native jobs near saibaba colony coimbatore tamil nadu

Solution Architect jobs in Coimbatore, Tamil Nadu

Software Engineer jobs in Coimbatore, Tamil Nadu

Ai Architect jobs in Coimbatore, Tamil Nadu

Software Architect jobs in Coimbatore, Tamil Nadu

Full Stack Developer jobs in Coimbatore, Tamil Nadu

Java Developer jobs in Coimbatore, Tamil Nadu

Solution Architect jobs in Kochi, Kerala

Solution Architect jobs in Kolkata, West Bengal

Ai Architect jobs in Remote

Senior Architect jobs in Hyderabad, Telangana

Solution Architect jobs in Pune, Maharashtra

Bim Architect, Architect jobs in Pune, Maharashtra

Software Engineer jobs in Okhla, Delhi, Delhi

Part Time Software Developer jobs in Ahmedabad, Gujarat

Software Developer,walk In Interview jobs in Delhi, Delhi

Software Testing jobs in Raipur, Chhattisgarh

Engineer jobs in Ratnagiri, Maharashtra

Software Engineer jobs in Neelambur, Coimbatore, Tamil Nadu

Software Engineer jobs in Ichalkaranji, Maharashtra

Software Engineer jobs in Bharuch, Gujarat

Lead Java Engineer - AI Native

EPAM Systems, Inc. -
Coimbatore, Tamil Nadu

Apply Now

Job details

Benefits

Health insurance
Paid time off

Qualifications

Jira
Spring Boot
CI/CD
Azure
Law
MCP
Enterprise Software
Git
English
Java
Master's degree
Microservices
AWS
Confluence
Distributed systems
Continuous integration
REST
GitHub
APIs
ServiceNow
AI
Spring framework
SDLC
Design patterns

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Lead Java Engineer – AI Native to design and scale enterprise Java systems while pioneering AI-native engineering practices across the SDLC. This role combines deep Java architecture expertise with hands-on experience building agentic pipelines and MCP server ecosystems that connect enterprise systems to LLM-based agents.

The role requires 3 days a week working from the office and involves mentoring engineering teams while driving AI adoption at scale.

Responsibilities

Design, develop and maintain scalable Java applications using Spring Boot and microservices architecture, owning features end-to-end with a high degree of autonomy
Build and deploy Model Context Protocol (MCP) servers that expose Java services, databases or internal tools to LLM-based agents, enabling agents to act on live enterprise data and systems
Architect end-to-end agentic SDLC pipelines including automated specification drafting, AI-driven code generation, intelligent test creation, CI/CD integration and deployment validation orchestrated by AI agents
Integrate agentic pipelines with enterprise tools and platforms such as Jira, Confluence, GitHub, ServiceNow and observability stacks via MCP connectors or REST/event-driven APIs
Apply AI coding assistants and frontier LLMs across the full development lifecycle daily and critically evaluate AI outputs for correctness, security and edge cases before committing
Bring an AI-first mindset to automate repetitive engineering tasks, measure outcomes rather than activity and identify AI-leverage opportunities within the delivery area
Contribute to the team's shared library of prompt templates, reusable agent patterns and MCP connectors
Conduct code and architecture reviews and mentor Junior and Mid-level engineers in Java best practices and AI-native engineering methods
Maintain strong automated test coverage across unit, integration, contract and AI-generated tests along with healthy CI/CD pipeline practices
Track frontier developments such as new model releases, emerging agent frameworks and new MCP connectors and bring relevant changes back to the team within weeks

Requirements

8–12 years of professional Java development experience with clear ownership of complex production systems
Expertise in Spring Boot, Spring Cloud and Spring Data along with Spring Security and microservices design patterns
Understanding of distributed systems, event-driven architecture and domain-driven design (DDD) plus CQRS/ES
Proficiency in cloud-native engineering on AWS, GCP or Azure including IaC, serverless patterns and managed services
Background in leading technical teams across architecture governance, coding standards and mentoring
Daily hands-on proficiency in AI coding assistants such as GitHub Copilot, Cursor and Claude Code and frontier LLMs including Claude, GPT-4o and Gemini, with capability to coach a team of 8-15 engineers in AI-native practices
Hands-on expertise in designing, building and deploying MCP server ecosystems at project or account scale including security controls, versioning and observability
Capability to architect and operate end-to-end agentic SDLC pipelines integrated with enterprise tools via MCP and APIs in production environments
Skills in evaluating and selecting AI agent orchestration frameworks such as LangGraph, CrewAI and AutoGen or Spring AI Agents for production use with documented rationale and trade-offs
Showcase of improving a team's AI maturity supported by adoption metrics or productivity evidence
Demonstrated learning agility at team scale with evidence of driving meaningful changes to engineering practices in the last 12 months due to evolving frontier models and tools
English proficiency at Upper-Intermediate level or above (B2+)

Nice to have

Experience with RAG pipelines, LLM fine-tuning or LLM evaluation frameworks such as RAGAS and DeepEval applied to software engineering contexts
Familiarity with structured agentic SDLC methodologies including specification-driven AI development and specification hardening or equivalent governed delivery protocols
Experience with Managed Services or AIOps delivery models such as autonomous monitoring, AI-assisted incident response and intelligent operations pipelines
Skills in function calling and tool-use design across multiple frontier models to build reliable governed tool-use chains
Contributions to internal AI maturity assessments, team certification programmes or AI engineering playbooks

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

Refine Your Search

lead java engineer ai native jobs in saibaba colony coimbatore tamil nadu

Lead Java Engineer - AI Native

Custom Software Engineer

Azure Cloud Lead Architect - Coimbatore

Solution / Enterprise Architect- Application Engineering

Architect AI - SEG

Senior Full Stack Engineer

Data Platform Architect

Principal Architect

More jobs to discover

I want to receive the latest job alerts for lead java engineer ai native in saibaba colony coimbatore tamil nadu

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected