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: 1. 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. 2. 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. 3. 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). 4. 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. 5. 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. 6. 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: o LangChain & LangGraph for agent orchestration o Azure OpenAI (GPT-5.0 or higher) and LLM-based application development Deep understanding of: o Agentic AI concepts: reasoning, planning, autonomy, tool usage o Multi-agent systems and orchestration Proficiency in: o Python (must-have) o API development (FastAPI/REST) o Data integration and pipelines AI/ML & LLM Expertise Experience with: o Prompt engineering and few-shot learning o RAG pipelines, embeddings, and vector databases o Knowledge graphs and contextual AI systems Understanding of LLM evaluation, tuning, and monitoring. Cloud & DevOps Hands-on experience with: o Azure AI services, Azure OpenAI, AI Foundry o CI/CD pipelines, containerization (Docker/Kubernetes preferred) o 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. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. 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