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 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are seeking a highly skilled Senior Agentic AI Developer to design, architect, and deliver next-generation intelligent agent solutions powered by Large Language Models (LLMs). The ideal candidate will bring deep hands-on expertise in building agentic AI systems using LangChain and LangGraph, and deploying scalable, enterprise-grade solutions leveraging Azure OpenAI (GPT-5.0 and above). This role focuses on developing autonomous, reasoning-driven AI agents capable of solving complex business problems, orchestrating workflows, and driving intelligent automation at scale. Key Roles and Responsibilities:

• Solution Architecture & Design Architect end-to-end Agentic AI solutions using modern frameworks such as LangChain and LangGraph. Design multi-agent systems with capabilities like reasoning, planning, memory, and tool orchestration. Define scalable architectures for distributed agents aligned with enterprise needs and cloud best practices. Translate business problems into AI-driven workflows and agent-based solutions.
• Development & Implementation Build and deploy intelligent agents using Azure OpenAI services and advanced GPT models. Develop stateful, multi-step agent workflows leveraging LangGraph constructs such as nodes, edges, and shared state. Implement RAG (Retrieval-Augmented Generation), tool integrations, and external API orchestration. Create reusable agent components, prompt templates, and orchestration pipelines.
• LLM & Agent Optimization Fine-tune prompts, workflows, and agent decision-making loops (ReAct, planning agents, etc.). Optimize performance, latency, cost, and response quality of LLM-based systems. Implement memory management (short-term, long-term, vector-based).
• Enterprise Integration & Deployment Integrate agents into enterprise ecosystems (APIs, databases, enterprise apps). Deploy solutions on Azure cloud, ensuring scalability, security, and reliability. Work with DevOps teams for CI/CD pipelines, monitoring, and observability.
• Governance, Security & Responsible AI Ensure compliance with Responsible AI, data privacy, and security standards. Implement guardrails, validation layers, and safe AI practices. Participate in design reviews and risk assessments.
• Collaboration & Leadership Collaborate with cross-functional teams (Product, QA, DevOps, Business). Mentor junior developers and contribute to best practices and reusable frameworks. Drive innovation through POCs, accelerators, and reusable assets. Required Skills & Experience: Core Technical Skills Strong hands-on experience with:
• LangChain & LangGraph for agent orchestration
• Azure OpenAI (GPT-5.0 or higher) and LLM-based application development Deep understanding of:
• Agentic AI concepts: reasoning, planning, autonomy, tool usage
• Multi-agent systems and orchestration Proficiency in:
• Python (must-have)
• API development (FastAPI/REST)
• Data integration and pipelines AI/ML & LLM Expertise Experience with:
• Prompt engineering and few-shot learning
• RAG pipelines, embeddings, and vector databases
• Knowledge graphs and contextual AI systems Understanding of LLM evaluation, tuning, and monitoring. Cloud & DevOps Hands-on experience with:
• Azure AI services, Azure OpenAI, AI Foundry
• CI/CD pipelines, containerization (Docker/Kubernetes preferred)
• Monitoring tools (App Insights, Log Analytics) Additional Information:
• The candidate should have minimum 7.5 years of experience in Microsoft Azure OpenAI Service.
• This position is based at multiple locations.
• A 15 years full time education is required.