LLM Operations Engineer
Accenture
- Location
- Onsite (Hyderabad, Telangana)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the Role
Accenture is seeking an LLM Operations Engineer to deploy and monitor large language models using cloud-native tools. The role focuses on ensuring scalability, performance, and security compliance for AI operations.
Skills
Generative AI
Large Language Models
Machine Learning Operations
Agentic AI
Cloud-native platforms
Container orchestration
Performance tuning
Monitoring frameworks
Security standards
Compliance
Automation
Scripting
Troubleshooting
Deployment strategies
System health management
Full job details
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.
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, 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.
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
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