AI Infrastructure Architect

Accenture in India; Hyderabad; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Accenture in India seeks an AI Infrastructure Architect to design and implement agentic AI solutions. You will develop intelligent agents with LangChain and LangGraph, integrated with Azure OpenAI services, and optimize LLM-powered workflows.

The role requires cloud deployments on Azure, strong Python/API skills, and collaboration with cross-functional teams. 3+ years Azure OpenAI experience is essential.

Qualifications

• Must have at least 3 years of experience with Microsoft Azure OpenAI Service.
• 15 years of full-time education is required.
• Strong architectural and hands-on skills in building AI agentic solutions.

Responsibilities

• 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 (nodes, edges, shared state).
• Contribute to development of RAG pipelines, prompt templates, and reusable components.
• 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.
• Work on prompt engineering, response tuning, and workflow improvements.
• Assist in optimizing performance, latency, and response quality of LLM-based apps.
• Implement memory handling and context management in agents.
• Integrate AI agents with enterprise systems, APIs, and data sources.
• Support deployment on Azure cloud environments.
• Collaborate with DevOps for build, deployment, and monitoring support.
• Follow Responsible AI, security, and data privacy best practices.
• Participate in testing, debugging, and validation of AI solutions.
• Adhere to coding standards and enterprise guidelines.
• Collaborate with QA, Dev, BA, and DevOps teams.
• Upskill on Agentic AI frameworks and Azure AI services.
• Contribute to documentation and knowledge sharing.

Skills

LangChain

LangGraph

Azure OpenAI

Python

API development

Agentic AI concepts

Multi-agent orchestration

Education

15 years full time education

Tools

REST/FastAPI

Job description

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.