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 5 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

Solid 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 5 years of experience in Microsoft Azure OpenAI Service.
- This position is based at multiple locations.
- A 15 years full time education is required.

📌 AI Infrastructure Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru