- Location
- Chennai, CDC2E, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
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, your day involves leveraging cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. You continuously monitor the performance of these models, proactively identifying and resolving operational issues to maintain smooth functionality. Ensuring that all AI operations adhere to compliance and security protocols is a key part of your routine. Collaboration with various teams to support the deployment lifecycle and optimize system reliability forms an integral part of your daily activities, contributing to the overall success of AI initiatives within the organization.
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 streamline deployment processes and improve operational workflows.
- Continuously evaluate and implement best practices to enhance system performance and reliability.
- Assist junior team members by sharing knowledge and providing guidance on operational tasks.
- Document operational procedures and maintain clear communication channels to support team efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
- Strong experience with cloud-native services and infrastructure for AI model deployment and management.
- In-depth understanding of monitoring tools and techniques to track model performance and system health.
- Knowledge of security frameworks and compliance requirements relevant to AI operations.
- Ability to troubleshoot and resolve complex operational challenges in AI environments.
- Familiarity with automation and orchestration tools to support scalable AI workflows.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our CDC2E - SEZ location.
- A 15 years full time education is required.
15 years full time education
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, your day involves leveraging cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. You continuously monitor the performance of these models, proactively identifying and resolving operational issues to maintain smooth functionality. Ensuring that all AI operations adhere to compliance and security protocols is a key part of your routine. Collaboration with various teams to support the deployment lifecycle and optimize system reliability forms an integral part of your daily activities, contributing to the overall success of AI initiatives within the organization.
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 streamline deployment processes and improve operational workflows.
- Continuously evaluate and implement best practices to enhance system performance and reliability.
- Assist junior team members by sharing knowledge and providing guidance on operational tasks.
- Document operational procedures and maintain clear communication channels to support team efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
- Strong experience with cloud-native services and infrastructure for AI model deployment and management.
- In-depth understanding of monitoring tools and techniques to track model performance and system health.
- Knowledge of security frameworks and compliance requirements relevant to AI operations.
- Ability to troubleshoot and resolve complex operational challenges in AI environments.
- Familiarity with automation and orchestration tools to support scalable AI workflows.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our CDC2E - 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.
Skills
Machine LearningCompliance
