LLM Operations Engineer

Accenture; Navi Mumbai; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Accenture seeks an LLM Operations Engineer in Navi Mumbai to deploy large language models using cloud-native platforms, monitor model performance, and ensure compliance and security in AI operations. The role emphasizes collaboration with cross-functional teams and continuous improvement of deployment strategies.

The ideal candidate has 3 years of experience in Generative AI and MLOps, with 15 years of full-time education, and will operate from the MDC5C SEZ location in Maharashtra.

Qualifications

• Must have skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
• Experience with cloud-native platforms and tools for AI deployment and monitoring.
• Strong understanding of AI compliance frameworks and security best practices.

Responsibilities

• Independent contributor capable of becoming an SME.
• Active participation in team discussions.
• Provide solutions to work-related problems.
• Collaborate with stakeholders to translate operational requirements into deployment strategies.
• Maintain documentation of procedures and incident reports for knowledge sharing.
• Mentor junior team members and support their growth.
• Identify risks in AI operations and implement mitigation plans for reliability.

Skills

Generative AI

Large Language Models

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 focus. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of daily activities, alongside adapting to evolving technological landscapes to optimize deployment strategies.

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.


• Maintain documentation of operational procedures and incident reports to support knowledge sharing and continuous improvement.


• Assist junior team members by providing guidance and support to foster their professional growth.


• Proactively identify potential risks in AI operations and implement mitigation plans to ensure system reliability.

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 AI deployment and monitoring.


• Strong understanding of AI compliance frameworks and security best practices.


• Ability to troubleshoot and resolve operational challenges in AI systems efficiently.


• Familiarity with performance monitoring techniques and tools specific to large-scale AI models.

Additional Information

• The candidate should have minimum 3 years of experience in Generative AI.


• This position is based at our MDC5C - SEZ location.


• A 15 years full time education is required.

15 years full time education

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.