Infrastructure Engineer

Accenture; India; On-site; INR 1,100,000 - 1,800,000; Full time

Job summary

Accenture in Gurugram is seeking an Infrastructure Engineer to assist in defining requirements, designing and building data center technology components and testing efforts.

You will collaborate with cross-functional teams, contribute to testing, and help ensure reliability and performance of infrastructure solutions for enterprise-scale environments.

Qualifications

• As a software engineer, you have 5+ years in software with 2+ years in AI/LLM systems.
• You possess strong Python and TypeScript/Node.js skills and hands-on LLM experience.
• You understand tokens, context, tools, prompts, and API design.

Responsibilities

• Design and build scalable agentic AI platforms for multi-step autonomous agents.
• Architect MCP servers and client ecosystems; build Agent APIs (REST + gRPC).
• Implement multi-agent execution patterns and enable memory and tool-calling.
• Ensure security, observability, and reliability of AI agent workflows.
• Collaborate with ML, product, and platform teams on system evolution.

Skills

Python

TypeScript/Node.js

LLM systems

API design

LangChain

REST/gRPC

Protobuf

Cloud platforms

Distributed systems

Education

Computer Science degree or equivalent

Tools

LangChain

LlamaIndex

AutoGen

REST

gRPC

Protocol Buffers

Kubernetes

Cloud Platforms

Job description

Project Role :

Infrastructure Engineer

Project Role Description :

Assist in defining requirements, designing and building data center technology components and testing efforts.

Must have skills :

Automation Architecture

Good to have skills :

NA

Educational Qualification :

15 years full time education

Minimum 7.5 year(s) of experience is required

Summary:

As an Infrastructure Engineer, a typical day involves supporting the definition of requirements and contributing to the design and construction of data center technology components. The role includes active participation in testing activities to ensure the reliability and performance of infrastructure solutions. This position requires close collaboration with various teams to align technology implementations with organizational goals, while continuously monitoring and improving data center operations to maintain optimal functionality and efficiency.

Key Responsibilities:

• Design and build scalable agentic AI platforms supporting multi-step autonomous agents
• Architect and implement Model Context Protocol (MCP) servers and client ecosystems
• Develop agent adaptors for multiple LLMs, tools, and AI frameworks
• Build Agent APIs (REST + gRPC) for lifecycle, streaming, and orchestration
• Implement multi-agent execution patterns like ReAct and Plan-and-Execute
• Enable memory, tool-calling, and context persistence for AI agents
• Ensure security, observability, and reliability of agent workflows
• Collaborate with ML, product, and platform teams on agentic system evolution

Required Skills and Qualifications:

• 5+ years of software engineering with 2+ years in AI/LLM systems
• Strong programming skills in Python and TypeScript / Node.js
• Hands-on experience building production LLM or agentic systems
• Solid understanding of LLM fundamentals (tokens, context, tools, prompts)
• Experience with API design (REST, gRPC, Protocol Buffers)
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, etc.)
• Experience with distributed systems and cloud platforms
• Degree in Computer Science or equivalent practical experience

Must to have skills:

• Deep experience with agentic AI systems and autonomous workflows
• Strong knowledge of Model Context Protocol (MCP) or similar standards
• Expertise in LLM tool-calling, function execution, and orchestration
• Experience implementing multi-step reasoning agents
• Practical knowledge of vector databases and agent memory
• Ability to design guardrails, safety checks, and cost controls for AI agents
• Experience with real-time streaming and multi-turn agent interactions
• Proven ability to move AI research concepts into production platforms

Additional Information:

• The candidate should have minimum 7.5 years of experience in Automation Architecture.
• This position is based at our Gurugram office.
• A 15 years full time education is required.

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.