LLM Operations Engineer
Bengaluru Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Accenture. Bengaluru · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 7, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Deploy and manage large language models with cloud-based services, then track their performance and resolve operating issues
- Apply security and compliance standards while improving how AI operations run
- Work with other teams to diagnose operational problems and put LLM operating practices into use
- Handle work independently, contribute to team discussions and help solve related problems
What you bring
- At least three years working with large language models
- Proficiency with LLMs and completion of fifteen years of full-time education
- A strong grasp of AI security and compliance, plus experience monitoring and troubleshooting model performance
Who this fits
This role suits someone ready to work independently and contribute as an LLM operations subject-matter expert. The position is based at the Bengaluru office.
From the employer
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, you will engage in the deployment and management of large language models using cloud-native services and tools. Your typical day will involve monitoring the performance of these models, addressing any operational challenges that arise, and ensuring that all activities comply with established security standards. You will collaborate with various teams to optimize processes and enhance the efficiency of AI operations, contributing to the overall success of 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.
- Assist in the development and implementation of best practices for LLM operations.
- Collaborate with cross-functional teams to identify and resolve operational issues.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Good To Have Skills: Experience with cloud-native services and tools.
- Strong understanding of AI operational compliance and security standards.
- Familiarity with performance monitoring tools and techniques.
- Experience in troubleshooting and optimizing AI model performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization15 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 : 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, you will engage in the deployment and management of large language models using cloud-native services and tools. Your typical day will involve monitoring the performance of these models, addressing any operational challenges that arise, and ensuring that all activities comply with established security standards. You will collaborate with various teams to optimize processes and enhance the efficiency of AI operations, contributing to the overall success of 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.
- Assist in the development and implementation of best practices for LLM operations.
- Collaborate with cross-functional teams to identify and resolve operational issues.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Good To Have Skills: Experience with cloud-native services and tools.
- Strong understanding of AI operational compliance and security standards.
- Familiarity with performance monitoring tools and techniques.
- Experience in troubleshooting and optimizing AI model performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization15 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.