Infrastructure Engineer

Accenture PLC; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture PLC is seeking an Infrastructure Engineer to define requirements and design data center tech components, with emphasis on AI/LLM systems. You will develop scalable AI platforms and agent frameworks to enable multi-step autonomous agents within enterprise infrastructure.

Responsibilities include designing MCP ecosystems, APIs, and tool integration, while ensuring security and reliability across distributed systems and cloud environments.

Qualifications

• 5+ years of software engineering with 2+ years in AI/LLM systems.
• Strong programming 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, Protobufs).
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen).
• Experience with distributed systems and cloud platforms.
• Degree in Computer Science or equivalent practical experience.

Responsibilities

• Design and build scalable agentic AI platforms for multi-step autonomous agents.
• Architect and implement MCP servers and client ecosystems.
• Develop agent adaptors for multiple LLMs, tools, and AI frameworks.
• Build Agent APIs (REST + gRPC) for lifecycle, streaming, 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 evolution.

Skills

Python

TypeScript/Node.js

LLM systems

API design

Distributed systems

Cloud platforms

Education

Bachelors in CS

Tools

LangChain

LlamaIndex

AutoGen

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: Large Language Models (LLMs). Good to have skills: NA. Minimum 5 year(s) of experience is required. Educational Qualification: 15 years full time education.

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
• 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 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.

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.

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