LLM Operations Engineer

Reposted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Mid level
Information Technology
The Role
Design and deploy multi-agent, LLM-powered applications and autonomous enterprise assistants. Build agent orchestration, RAG pipelines, tool integrations, memory systems, and AI copilots using frameworks such as LangChain and AutoGen. Optimize performance through prompt engineering, fine-tuning, caching, and evaluation. Apply MLOps and LLMOps practices for monitoring, governance, security, scalability, and responsible AI. Collaborate with stakeholders to translate business workflows into production agent systems.
Summary Generated by Built In
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:
As an LLM Operations Engineer, a typical day involves leveraging cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. The role includes continuous monitoring of model performance to ensure optimal functionality, promptly addressing any operational issues that arise, and maintaining adherence to compliance and security protocols within AI operations. This position requires a proactive approach to managing the lifecycle of language models, ensuring smooth integration and reliable service delivery in dynamic environments.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to optimize deployment workflows and improve operational efficiency.
- Assist in documenting best practices and operational procedures to support knowledge sharing within the team.
- Support junior team members by providing guidance and sharing expertise to foster professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
- Experience with cloud-native platforms and tools for deploying and managing AI models.
- Strong understanding of monitoring techniques and performance optimization for large-scale AI systems.
- Familiarity with compliance frameworks and security standards relevant to AI operations.
- Ability to troubleshoot and resolve operational challenges in AI deployment environments.

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.

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 

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.

Skills Required

  • Minimum 3 years of experience in Generative AI or AI/ML
  • Minimum 3 years of professional experience overall
  • 15 years of full-time education
  • Strong Python development skills
  • Experience with Generative AI and Large Language Models
  • Experience with Machine Learning Operations or LLMOps
  • Experience building multi-agent orchestration systems
  • Experience with OpenAI or Hugging Face Transformers
  • Experience with agent frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel
  • Experience building RAG pipelines using vector databases such as FAISS, Pinecone, or Weaviate
  • Experience building API-driven, tool-integrated AI agents
  • Experience with cloud platforms, preferably Azure OpenAI; AWS or GCP acceptable
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines
  • Experience with LLM evaluation frameworks such as RAGAS, TruLens, or Promptfoo
  • Knowledge of agent planning, prompt engineering, context management, and token optimization

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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