LLM Operations Engineer

8109 ASOL-Chennai SEZ Company; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture is seeking a highly skilled LLM Operations Engineer to design, deploy, and monitor generative AI solutions. You will work on multi-agent architectures, orchestrating LLMs, tools, and memory loops to enable autonomous workflows across enterprise systems.

You will build RAG pipelines, implement Agentic workflows, and ensure security and governance in AI operations while collaborating with business stakeholders and cloud teams. Pune-based role with cutting-edge AI practices.

Qualifications

• Minimum 3 years of experience in Generative AI.
• 15 years full time education is required.
• Experience with multi-agent orchestration and agent-based workflows is preferred.
• Strong Python development skills and familiarity with LLM tooling.

Responsibilities

• Design and build multi-agent AI systems capable of planning, reasoning, and task execution.
• Develop applications using LLMs with advanced prompt engineering and orchestration.
• Implement Agentic workflows (planner – executor – critic – memory loops).
• Build RAG pipelines with vector databases for enterprise knowledge grounding.
• Develop tool-using agents that integrate with APIs, databases, and enterprise systems.
• Architect and deploy AI copilots and autonomous assistants for business workflows.
• Optimize LLM performance using fine-tuning, prompt chaining, and caching strategies.
• Ensure AI safety, governance, and responsible AI practices.

Skills

Generative AI

LLMs

MLOps

Agentic AI

Python

Prompt engineering

Cloud platforms

Knowledge graphs

Plan and Execute

Chain-of-thought

Education

15 years education

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

OpenAI

Hugging Face Transformers

FAISS

Pinecone

Weaviate

Docker

Kubernetes

CI/CD pipelines

Job description

Project Role :

LLM Operations Engineer

Project Role Description :

Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations. Must have skills: Generative AI, Large Language Models (LLMs), Machine Learning Operations, Agentic AI. Good to have skills: NA. Minimum 3 year(s) of experience is required. Educational Qualification: 15 years full time education. Summary: We are looking for a highly skilled AI Engineer specializing in Generative AI and Multi-Agent Systems to design and deploy intelligent, autonomous solutions. This role focuses on building LLM-powered, agent-driven architectures that can reason, collaborate, and execute complex workflows across enterprise systems. You will work on cutting-edge Agentic AI frameworks, enabling systems that go beyond prediction to decision‑making, orchestration, and autonomous execution.

Roles & Responsibilities:

• Design and build multi‑agent AI systems capable of planning, reasoning, and task execution
• Develop applications using LLMs (GPT, Claude, Llama, etc.) with advanced prompt engineering and orchestration
• Implement Agentic workflows (planner – executor – critic – memory loops)
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases for enterprise knowledge grounding
• Develop tool‑using agents that integrate with APIs, databases, and enterprise systems
• Architect and deploy AI copilots and autonomous assistants for business workflows
• Optimize LLM performance using fine‑tuning, prompt chaining, and caching strategies
• Implement short‑term and long‑term memory mechanisms (vector stores, knowledge graphs)
• Design multi‑agent collaboration protocols (hierarchical, swarm, role‑based agents)
• Deploy scalable solutions using MLOps & LLMOps practices (monitoring, evaluation, guardrails)
• Ensure AI safety, governance, and responsible AI practices

Professional & Technical Skills:

• Experience building multi-agent orchestration systems with role‑based coordination
• Exposure to agent planning algorithms (ReAct, Plan-and-Execute, Tree of Thought)
• Experience with LLM evaluation frameworks (RAGAS, TruLens, Promptfoo)
• Knowledge of graph‑based reasoning, knowledge graphs
• Building autonomous systems or copilots in enterprise environments
• Domain experience in industrial, energy, or IoT environments
• Systems thinking for designing autonomous AI architectures
• Strong problem decomposition for agent task design
• Ability to balance latency, cost, and accuracy in LLM systems
• Communication with business stakeholders to translate workflows into agent pipelines
• Innovation mindset with focus on applying agentic AI in production
• 3–8 years' experience in AI/ML with strong focus on Generative AI
• Strong Python development skills
• Hands-on experience with:
  • LLMs & GenAI frameworks
  • OpenAI, Hugging Face Transformers
  • Agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel
  • RAG pipelines & vector DBs- FAISS, Pinecone, Weaviate
  • Experience building API-driven, tool-integrated AI agents
• Strong understanding of:
  • Prompt engineering & prompt optimization
  • Chain-of-thought reasoning and tool augmentation
  • Context management and token optimization
• Experience with cloud platforms (Azure OpenAI preferred, AWS/GCP acceptable)
• Knowledge of Docker, Kubernetes, CI/CD pipelines

Additional Information:

• The candidate should have minimum 3 years of experience in Generative AI.
• This position is based at our Pune 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. 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 a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture