Senior AI / GenAI Architect

Senior AI / GenAI Architect

Experience: 10+ Years

Job Type: Full-Time

Locations: Hyderabad / Noida, India

About the Role

We are looking for an experienced Senior AI / GenAI Architect with strong expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate must have a strong Java backend development background and hands-on experience building and integrating enterprise-grade AI solutions using Azure AI services and modern AI orchestration frameworks.

Key Responsibilities

• Design and architect scalable, enterprise-grade AI and Generative AI solutions.
• Develop and implement Agentic AI, multi-agent systems, LLM-based applications, and RAG architectures.
• Build and integrate AI capabilities into Java-based backend applications using Spring AI.
• Leverage Azure AI Foundry and Azure OpenAI Services to develop and deploy AI-powered solutions.
• Implement AI orchestration workflows using LangChain, LangGraph, CrewAI, and related frameworks.
• Define AI architecture, security, governance, scalability, and deployment strategies.
• Collaborate with business stakeholders and engineering teams to translate requirements into scalable technical solutions.
• Drive performance optimization, monitoring, responsible AI practices, and enterprise AI standards.

Mandatory Skills & Qualifications

• 10+ years of overall IT experience with strong enterprise application development experience.
• Strong hands-on experience in Java backend development .
• Expertise in Generative AI, Agentic AI, LLMs, and RAG.
• Experience with Spring AI and the Java ecosystem .
• Hands-on experience with Azure AI Foundry and/or Azure OpenAI Services .
• Working knowledge of LangChain, LangGraph, and CrewAI.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.
• Experience with AI application integration and enterprise-scale solution implementation.

Preferred Qualifications

• Experience with OpenShift or Kubernetes deployments.
• Knowledge of vector databases, embeddings, prompt engineering, and AI orchestration.
• Exposure to MLOps/LLMOps, CI/CD pipelines, AI observability, and responsible AI practices.
• Experience working with global stakeholders and distributed teams.

Important Travel Requirement

The selected candidate must be willing to travel to Mauritius and stay onsite for the initial one-month training period . Candidates should be comfortable with this travel and stay requirement before applying.