Java Architect – AI Platforms & LLM Integration - Hybrid

We are seeking an experienced Java Architect with strong expertise in designing enterprise applications and hands-on experience integrating AI/ML technologies into modern software solutions. The ideal candidate will lead architecture initiatives, drive technical strategy, and build scalable, cloud-native applications powered by AI capabilities.

Key Responsibilities

• Design and architect enterprise-grade Java applications using Java 17+, Spring Boot, and Microservices.
• Define application architecture, design patterns, and best practices for scalable and secure systems.
• Integrate AI/LLM capabilities into enterprise applications using APIs and AI frameworks.
• Design AI-powered solutions including chatbots, intelligent search, document processing, and recommendation systems.
• Build RESTful APIs and event-driven architectures using Kafka or RabbitMQ.
• Lead cloud-native development on AWS, Azure, or GCP using Docker and Kubernetes.
• Collaborate with product owners, data scientists, and engineering teams to deliver AI-enabled business solutions.
• Drive code quality through design reviews, CI/CD pipelines, automated testing, and DevSecOps practices.
• Mentor development teams and provide architectural guidance throughout the SDLC.

Required Skills

• 12+ years of Java development experience with 5+ years in an Architect role.
• Strong expertise in Java, Spring Boot, Spring Cloud, Hibernate, JPA, and Microservices.
• Experience with AI technologies such as OpenAI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or Hugging Face.
• Knowledge of LLMs, Prompt Engineering, RAG (Retrieval-Augmented Generation), Vector Databases (Pinecone, Weaviate, ChromaDB), AI Agents, and LangChain/LangGraph.
• Experience integrating AI APIs into enterprise applications.
• Strong knowledge of REST APIs, GraphQL, Kafka, Docker, Kubernetes, and CI/CD.
• Experience with relational and NoSQL databases (Oracle, PostgreSQL, MongoDB).
• Strong understanding of system design, security, scalability, and performance optimization