AI Infrastructure Architect

Accenture in India; Maharashtra; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Accenture in India is seeking an AI Infrastructure Architect to design and build scalable AI infrastructure and hardware solutions. You will optimize AI workloads, advise on vendor selections, and ensure full-stack integration across Azure OpenAI services and enterprise systems.

The role focuses on developing agentic AI solutions with LangChain/LangGraph, improving performance, and collaborating with DevOps for deployment and monitoring in Azure.

Qualifications

• Hands-on experience building AI agents and infrastructure.
• Expertise with LangChain and LangGraph architectures for agentic AI.
• Proficiency in Python and RESTful API development for LLM apps.

Responsibilities

• Develop intelligent agent workflows using LangChain and LangGraph.
• Integrate agentic AI with Azure OpenAI services and enterprise data sources.
• Optimize performance and latency of LLM-based applications.

Skills

LangChain

LangGraph

Python

Azure OpenAI

API development

Education

15 years full time education

Tools

FastAPI

REST

CI/CD

Job description

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.