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Full-time
bachelor degree
Posted 5d ago
~40 hrs/week
Responsibilities
The LLM Operations Engineer is responsible for deploying and monitoring large language models using cloud-native tools to ensure scalability and efficiency. They must also collaborate with cross-functional teams to resolve operational issues and maintain compliance with security standards.
Requirements
Candidates must have at least 3 years of experience working with Large Language Models and Generative AI. A full-time 15-year educational background is required for this position.
Full 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), Generative AI, 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 various teams to maintain smooth functioning and optimize the deployment environment is also an integral part of the workday, fostering a proactive approach to managing AI systems.
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. - Maintain detailed documentation of operational procedures and incident resolutions to support knowledge sharing. - Assist junior team members by providing guidance and support to enhance their understanding of LLM operations. - Continuously evaluate and implement improvements to enhance system reliability and efficiency.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, Agentic AI. - Strong experience with cloud-native services and infrastructure for deploying and managing AI models. - Ability to monitor and analyze model performance metrics to ensure optimal operation. - Knowledge of compliance frameworks and security best practices relevant to AI systems. - Familiarity with automation tools and scripting to support operational tasks. - Capability to troubleshoot and resolve technical issues related to AI deployments.
Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our PDC3C - 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.
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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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