The Java Fullstack Architect (with AI Expertise) is responsible for architecting contemporary, scalable full stack solutions while integrating AI/ML capabilities across enterprise applications. This role blends deep full stack engineering knowledge (Java, microservices, cloud, front-end frameworks) with hands-on experience designing and deploying AI-powered features such as intelligent automation, predictive analytics, NLP, and generative AI components. The architect will guide teams to adopt AI-driven patterns while ensuring performance, security, and maintainability.

Key Responsibilities:

Architectural Leadership
Own end-to-end architecture across backend, frontend, data, integrations, and AI components.
Define standards for microservices, APIs, UI architecture, and AI/ML integration patterns.
Conduct architectural reviews and establish guidelines for high-quality, scalable solutions.

Backend Engineering (Java)
Architect and build microservices using Java 11+/Spring Boot, Spring Cloud, and cloud-native services.
Design event-driven systems, asynchronous patterns,



and high-performance data pipelines.
Integrate AI inference services (e.g., REST,gRPC, model-serving APIs).
Collaborate with data science teams to productionize ML models (MLOpspractices).
Work with cloud AI services (AWS, Azure, GCP) such as:
AWS Bedrock/SageMaker
Azure OpenAI / Azure ML
GCP Vertex AI
Architect vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.
Ensure ethical AI use, security, guardrails, and compliance.

Frontend Engineering
Design modular, scalable UIs using Angular/React with solid state management.
Integrate AI-powered UI features (e.g., copilots, predictive fields, intelligent search).
Ensure seamless front-end consumption of microservices and AI APIs.

Cloud & DevOps
Architect cloud-native deployments on AWS/Azure/GCP.
Design CI/CD pipelines supporting microservices and ML models.
Implement containerization using Do

📌 Enterprise Architect Bengaluru (India)
🏢 Bounteous India
📍 India