Java + Native AI

Zensar Technologies; Maharashtra; A distancia; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

Zensar Technologies seeks an experienced Java professional to advance modernization of large-scale applications using Java, Spring Boot, microservices, and REST APIs. The role emphasizes GenAI and Agentic AI capabilities, driving AI-enabled software development and POC-based ROI analyses.

Remote-enabled position with a preference for Pune-based candidates. You will collaborate with architects, stakeholders, QA teams, and engineering leadership to define roadmaps and AI adoption strategies,

Formación

• 8+ years of hands-on experience in Java application development.
• Experience in modernization of large-scale legacy applications and cloud readiness assessments.
• Strong understanding of GenAI technologies and AI-assisted software development.
• Hands-on experience with Agentic AI concepts and frameworks.
• Ability to collaborate with architects, business stakeholders, QA teams, and engineering leadership.

Responsabilidades

• Lead or contribute to Java modernization initiatives (monolith-to-microservices, version upgrades, middleware migration).
• Drive AI/Agentic AI POCs to identify productivity gains and measurable benefits.
• Define modernization roadmaps and AI adoption strategies with stakeholders.
• Present POC outcomes, ROI metrics, and AI transformation recommendations to leadership.

Conocimientos

Java

Spring Boot

Microservices

REST APIs

GenAI

Agentic AI

Stakeholder collaboration

Descripción del empleo

Job Description

8+ years of hands-on experience in Java application development with strong expertise in Java, Spring Boot, Microservices, REST APIs, enterprise integration, and modernization of large-scale legacy applications.

• Proven experience leading or contributing to Java modernization initiatives, including Java version upgrades, monolith-to-microservices transformation, application refactoring, middleware migration (e.g., WebLogic to Tomcat), performance optimization, and cloud readiness assessments.
• Strong understanding of GenAI technologies, including LLMs, prompt engineering, AI-assisted software development, code modernization accelerators, GitHub Copilot, Azure OpenAI/OpenAI services, and AI-enabled developer productivity tools.
• Hands-on experience with Agentic AI concepts and frameworks, including AI agents, autonomous workflows, multi-agent orchestration, MCP, LangChain, CrewAI, AutoGen, semantic search, RAG, and AI-driven software engineering use cases.
• Responsible for driving AI/Agentic AI Proof of Concepts (POCs) to identify productivity gains, automate development and testing activities, accelerate code modernization, improve documentation generation, and establish measurable business benefits.
• Strong analytical and communication skills with the ability to collaborate with architects, business stakeholders, QA teams, and engineering leadership to define modernization roadmaps and AI adoption strategies.
• Experience in Insurance domain modernization projects is highly desirable. Location: Remote (Pune preferred). Prior experience presenting POC outcomes, ROI metrics, and AI transformation recommendations to leadership teams will be an added advantage.

Responsibilities

8+ years of hands-on experience in Java application development with strong expertise in Java, Spring Boot, Microservices, REST APIs, enterprise integration, and modernization of large-scale legacy applications.

• Proven experience leading or contributing to Java modernization initiatives, including Java version upgrades, monolith-to-microservices transformation, application refactoring, middleware migration (e.g., WebLogic to Tomcat), performance optimization, and cloud readiness assessments.
• Strong understanding of GenAI technologies, including LLMs, prompt engineering, AI-assisted software development, code modernization accelerators, GitHub Copilot, Azure OpenAI/OpenAI services, and AI-enabled developer productivity tools.
• Hands-on experience with Agentic AI concepts and frameworks, including AI agents, autonomous workflows, multi-agent orchestration, MCP, LangChain, CrewAI, AutoGen, semantic search, RAG, and AI-driven software engineering use cases.
• Responsible for driving AI/Agentic AI Proof of Concepts (POCs) to identify productivity gains, automate development and testing activities, accelerate code modernization, improve documentation generation, and establish measurable business benefits.
• Strong analytical and communication skills with the ability to collaborate with architects, business stakeholders, QA teams, and engineering leadership to define modernization roadmaps and AI adoption strategies.
• Experience in Insurance domain modernization projects is highly desirable. Location: Remote (Pune preferred). Prior experience presenting POC outcomes, ROI metrics, and AI transformation recommendations to leadership teams will be an added advantage.

About Us

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.