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 : 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 operation, proactively identifying and resolving any operational issues that arise. Additionally, the position requires maintaining adherence to compliance and security protocols within AI operations, ensuring that all processes meet established standards. Collaboration with various teams to support smooth deployment and operational excellence is also a key aspect of daily activities.

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 operational processes.
• Assist in documenting operational procedures and best practices to support knowledge sharing.
• Support junior team members by providing guidance and sharing expertise.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience with cloud-native services and tools for deployment and monitoring of AI models.
• Strong understanding of operational challenges related to AI systems and their mitigation strategies.
• Familiarity with compliance and security standards applicable to AI and data operations.
• Ability to analyze system performance metrics and implement improvements for scalability and efficiency.

Additional Information

• The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
• This position is based at our PDC3B - SEZ location.
• 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.