JAVA + AI Architect

Job Summary

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.
• 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.

Educational Qualification

Soft Skills

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.

Java Architecture

AI & Generative AI

AI Frameworks & Tools

Cloud & DevOps

Data Technologies

Leadership Responsibilities

Qualifications

• Java Architecture
• Strong expertise in Java 8/11/17+.
• Spring Boot
• Spring Cloud
• Microservices Architecture
• REST APIs
• Event-Driven Architecture
• Distributed Systems
• Kafka
• RabbitMQ
• ActiveMQ
• Design Patterns
• Domain-Driven Design (DDD)
• SOLID Principles
• Enterprise Integration Patterns
• AI & Generative AI
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Generative AI
• Large Language Models (LLMs)
• OpenAI
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• Anthropic Claude
• Open-Source Models (Llama, Mistral, etc.)
• Prompt Engineering
• Fine-Tuning
• RAG Architecture
• Vector Databases
• AI Agents
• AI Governance
• AI Frameworks & Tools
• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• Pinecone
• ChromaDB
• Weaviate
• FAISS
• Cloud & DevOps
• Microsoft Azure
• AWS
• Google Cloud Platform (GCP)
• Docker
• Kubernetes
• OpenShift
• CI/CD Pipelines
• Terraform
• Data Technologies
• SQL
• NoSQL Databases
• Data Warehousing
• Data Pipelines
• Apache Spark
• Databricks
• Leadership Responsibilities
• Lead architecture governance and technology roadmap initiatives.
• Conduct architecture and code reviews.