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LLM Operations Engineer

Pune, India Full-time
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Added 7 Nov 2026 · Engineering

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 : Large Language Models (LLMs) Good to have skills : Prompt Engineering, Generative AI Minimum 2 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 identify and resolve operational issues promptly. Ensuring that all AI operations adhere to established compliance and security protocols is a key focus. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of daily activities, alongside proactive management of system health and resource optimization to support evolving business needs. 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 stakeholders to understand operational requirements and translate them into effective deployment strategies. - Continuously evaluate and improve operational workflows to enhance system reliability and efficiency. - Assist junior team members by sharing knowledge and providing guidance on best practices. - Document operational procedures and incident reports to support knowledge sharing and compliance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Good To Have Skills: Prompt Engineering, Generative AI. - Experience with cloud-native services and infrastructure for deploying and managing AI models. - Strong understanding of monitoring tools and techniques to track model performance and system health. - Familiarity with security and compliance standards relevant to AI operations. - Ability to troubleshoot and resolve operational challenges in a timely manner. Additional Information: - The candidate should have minimum 2 years of experience in Large Language Models (LLMs). - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Pay, skills & work eligibility

Compensation

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Location, eligibility & working hours

Listed work location
Pune, India
Visa sponsorship
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Working hours / time zone
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Work authorization wording
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by

Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.

Requirements at a glance

Experience mentioned: 2+ years

Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.

Location & work arrangement

Listed work locations

  • Pune, India

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