LLM Operations Engineer

Accenture in India; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Accenture in India is seeking an LLM Operations Engineer to deploy and operate large language models using cloud-native platforms at our Hyderabad SEZ campus. You will monitor model performance, address outages, and ensure security/compliance in AI operations.

Collaborate with cross-functional teams, document procedures, mentor juniors, and continuously optimize workflows to support scalable, reliable AI services for evolving business needs.

Qualifications

• Must have at least 3 years of experience in Generative AI.
• Experience with Generative AI and LLMs in production.
• Ability to deploy and monitor AI models using cloud-native platforms.

Responsibilities

• Perform independently and become an SME.
• Active participation in team discussions.
• Contribute to solutions for work-related problems.
• Collaborate with stakeholders to translate requirements into deployment strategies.
• Continuously evaluate and improve operational workflows for efficiency and reliability.
• Mentor junior team members and share knowledge.
• Maintain thorough documentation of procedures and incident resolutions.

Skills

Generative AI

Large Language Models (LLMs)

Machine Learning Operations

Agentic AI

Education

15 years full time education

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

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 requires 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 aspect of daily activities. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of the work routine, 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 efficiency and reliability.
• Assist junior team members by sharing knowledge and providing guidance on best practices.
• Maintain thorough documentation of operational procedures and incident resolutions.

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 container orchestration tools to support scalable AI deployments.
• Strong understanding of monitoring frameworks and performance tuning for large-scale AI models.
• Familiarity with security standards and compliance requirements relevant to AI operations.
• Ability to troubleshoot complex operational issues and implement robust solutions.
• Knowledge of automation and scripting to streamline deployment and maintenance tasks.

Additional Information

• The candidate should have minimum 3 years of experience in Generative AI.
• This position is based at our HDC3C - SEZ location.
• A 15 years full time education is required.