Infrastructure Engineer

8119 ASOL Gurgaon 5 SEZ Company; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture is seeking an Infrastructure Engineer to build, configure, and test data center and AI infrastructure across compute, storage, networking, and platform layers. Translate architectural designs into scalable, secure production environments through reliable implementation and automation.

The role involves collaborating with ML and platform teams to ensure integration, testing, and reliability of infrastructure components, with emphasis on security, observability, and proactive problem

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).
• 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.

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

Skills

LLMs

Python

TypeScript

Node.js

AI frameworks

API design

LangChain

LlamaIndex

AutoGen

Distributed systems

Education

15 years full time education

CS degree or equivalent

Tools

LangChain

LlamaIndex

AutoGen

gRPC

Protocol Buffers

Job description

Project Role

Project Role : Infrastructure Engineer

Project Role Description

Project Role Description : Build, configure, and test data center and AI infrastructure across compute, storage, networking, and platform layers. Translate architectural designs into scalable, secure, and high-performance production environments through reliable implementation and automation.

Skills

Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary

Summary: As an Infrastructure Engineer, a typical day involves actively participating in the definition of requirements and contributing to the design and construction of data center technology components. The role includes collaborating with various teams to ensure the seamless integration and functionality of infrastructure elements. Additionally, the position requires involvement in testing activities to validate the performance and reliability of the technology components within the data center environment. This role demands a proactive approach to problem-solving and continuous improvement to support the evolving needs of the infrastructure landscape.

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 Large Language Models (LLMs).
• - This position is based at our Gurugram office.
• - A 15 years full time education is required. 15 years full time education

About Accenture

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture