JAVA + AI Architect

Role overview

JAVA + AI Architect at Zensar

We are seeking a highly experienced Java + AI Architect to lead the design and implementation of enterprise-scale applications powered by Artificial Intelligence and Generative AI.

The ideal candidate will have deep expertise in Java-based application architecture, cloud-native technologies, AI/ML platforms, Large Language Models (LLMs), and enterprise integration patterns.

Java + AI Architect -

Job Title: Java + AI Architect

Responsibilities

• Define and drive the architecture for Java-based enterprise applications integrated with AI capabilities.
• Design scalable, secure, and high-performance AI-powered solutions using modern architectural principles.
• Lead the adoption of Generative AI, Machine Learning, and Agentic AI across enterprise platforms.
• Architect and implement AI use cases such as chatbots, intelligent assistants, document processing, knowledge search, and recommendation engines.
• Design Retrieval-Augmented Generation (RAG) frameworks and vector-based search architectures.
• Integrate LLMs and AI services with enterprise systems using APIs and microservices.
• Collaborate with business stakeholders, product teams, engineering teams, and leadership to translate business requirements into technical solutions.
• Define best practices, coding standards, security standards, and architecture guidelines.
• Provide technical leadership, mentoring, and guidance to development teams.
• Drive solution reviews, performance optimization, and scalability assessments.

Required qualifications

• 12+ Years

Required skills

• Java Architecture Strong expertise in Java 8/11/17+.
• Extensive experience with: Spring Boot Spring Cloud Microservices Architecture REST APIs Event-Driven Architecture Distributed Systems Experience with: Kafka RabbitMQ ActiveMQ Strong understanding of: Design Patterns Domain-Driven Design (DDD) SOLID Principles Enterprise Integration Patterns AI & Generative AI Deep understanding of: Machine Learning Deep Learning Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Experience with: OpenAI Azure OpenAI AWS Bedrock Google Vertex AI Anthropic Claude Open-Source Models (Llama, Mistral, etc.) Hands-on experience in: Prompt Engineering Fine-Tuning RAG Architecture Vector Databases AI Agents AI Governance AI Frameworks & Tools Experience with: LangChain LangGraph LlamaIndex Semantic Kernel CrewAI AutoGen Vector Databases: Pinecone ChromaDB Weaviate FAISS Cloud & DevOps Expertise in one or more cloud platforms: Microsoft Azure AWS Google Cloud Platform (GCP) Experience with: Docker Kubernetes OpenShift CI/CD Pipelines Terraform Data Technologies Strong knowledge of: SQL NoSQL Databases Data Warehousing Data Pipelines Apache Spark Databricks Leadership Responsibilities Lead architecture governance and technology roadmap initiatives.
• Conduct architecture and code reviews.
• Mentor architects, technical leads, and development teams.
• Evaluate new AI technologies and recommend adoption strategies.
• Engage with clients and leadership teams on solution strategy and innovation initiatives.

Preferred qualifications and skills

• Experience in building enterprise AI platforms.
• Knowledge of MLOps and Model Lifecycle Management.
• Experience with AI security, Responsible AI, and compliance frameworks.
• Exposure to Retail, BFSI, Healthcare, or Manufacturing domains.
• AI and Cloud certifications from Microsoft, AWS, Google, or equivalent.
• Educational Qualification Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
• Soft Skills Excellent stakeholder management and communication skills.
• Strong analytical and problem-solving abilities.
• Strategic thinking and decision-making capabilities.
• Ability to lead globally distributed teams.
• Strong consulting and client-facing skills.
• Nice to Have Experience designing enterprise-scale AI transformation programs.
• Knowledge of Multi-Agent Architectures and Autonomous AI Systems.
• Published technical papers, patents, or conference presentations in AI or enterprise architecture.
• Experience with AI Centers of Excellence (CoE) and innovation initiatives.

Employment details

• Location: Pune / Bangalore / Hyderabad / Chennai
• Employment Type: Full-Time
• Location: India