AI Infrastructure Architect

Project Role : AI Infrastructure Architect

Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

Must have skills : Microsoft Azure OpenAI Service

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are looking for a skilled Agentic AI Developer with hands-on experience in building intelligent agents using LangChain and LangGraph, and deploying solutions leveraging Azure OpenAI (GPT-5.0 and above). In this role, you will primarily focus on developing, integrating, and optimizing agentic AI solutions, working closely with architects and senior team members to deliver scalable and high-quality AI-driven applications. Key Role and Responsibilities:

• Development & Implementation Develop intelligent agents using LangChain, LangGraph, and Azure OpenAI services. Implement agent workflows, tool integrations, and multi-step reasoning pipelines. Build and maintain stateful agent flows using LangGraph constructs (nodes, edges, shared state). Contribute to development of RAG pipelines, prompt templates, and reusable components.
• Solution Contribution Collaborate with senior developers/architects to implement agentic AI solution designs. Translate functional requirements into working AI agent modules and workflows. Support enhancements and feature development for existing agentic solutions.
• LLM Integration & Optimization Work on prompt engineering, response tuning, and workflow improvements. Assist in optimizing performance, latency, and response quality of LLM-based applications. Implement basic memory handling and context management in agents.
• Integration & Deployment Integrate AI agents with enterprise systems, APIs, and data sources. Support deployment of solutions on Azure cloud environments. Work with DevOps teams for build, deployment, and monitoring support.
• Quality, Security & Compliance Follow best practices for Responsible AI, security, and data privacy. Participate in testing, debugging, and validation of AI solutions. Ensure adherence to coding standards and enterprise guidelines.
• Collaboration & Learning Work closely with cross-functional teams (QA, Dev, BA, DevOps). Actively upskill on Agentic AI frameworks, LLM advancements, and Azure AI services. Contribute to documentation and knowledge sharing. Required Skills & Experience: Core Technical Skills Hands-on experience with:
• LangChain and LangGraph
• Azure OpenAI (GPT-5.0 or higher) Good understanding of:
• Agentic AI concepts (reasoning, tool usage, workflows)
• Multi-agent and orchestration basics Programming & Development Strong proficiency in:
• Python (mandatory)
• API development (REST/FastAPI preferred) Experience in building LLM-based applications AI/LLM Knowledge Familiarity with:
• Prompt engineering
• RAG concepts and vector databases
• Basic understanding of LLM evaluation and tuning Cloud & Tools Exposure to:
• Azure AI services / Azure OpenAI / AI Foundry
• CI/CD pipelines and cloud deployments Basic understanding of logging/monitoring tools Additional Information:
• The candidate should have minimum 3 years of experience in Microsoft Azure OpenAI Service.
• This position is based at multiple locations.
• A 15 years full time education is required., 15 years full time education