Infrastructure Engineer
Accenture
- Location
- Onsite (Hyderabad, Telangana)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the role
Accenture is seeking an Infrastructure Engineer to design and build scalable agentic AI platforms and implement Model Context Protocol servers. The role focuses on ensuring the reliability, security, and observability of autonomous agent workflows within the data center environment.
Skills
Large Language Models
Python
TypeScript
Node.js
Model Context Protocol
REST APIs
gRPC
LangChain
LlamaIndex
AutoGen
Vector Databases
Agentic AI
Distributed Systems
Cloud Platforms
Protocol Buffers
Autonomous Agents
Full job details
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
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 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
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
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 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
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
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