Zensar Technologies
JAVA + AI Architect
Skills
Job description
Job Summary
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.
Key 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 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 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.