We Are 
We are entering into a new decade of Data & AI that will reshape work and society. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. 
With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization is powered by experienced innovation, strategic investment, exceptional talent, and our power ecosystem. 
You Are 
As a Full Stack LLM Developer, you will play a pivotal role in designing, building, and deploying next-generation AI systems powered by Large Language Models (LLMs). You will contribute across the full AI lifecycle — from researching and fine-tuning foundation models to prompt engineering, system integration, and deployment into production environments. You will improve performance, accuracy and alignment of the LLMs and AI systems. You bring a mix of hands-on engineering skills, deep knowledge of modern AI architectures, and a passion for applying AI responsibly to solve real-world problems. In addition, you will utilize your strong skills to develop and integrate AI Systems into products and services. Have expertise in design, develop and optimizing AI prompts. 
Position Responsibilities:  
Design, develop, and optimize AI prompts and next-generation applications powered by Large Language Models (LLMs).
Architect and implement generative agent systems using frameworks for multi-model coordination to tackle complex tasks.
Develop application and component strategies, overseeing both user experience and backend systems.
Define, evaluate, and optimize AI system architectures, leveraging relevant frameworks and best practices.
Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.
Build and maintain scalable machine learning infrastructure, including distributed training pipelines and seamless integration with APIs.
Apply advanced evaluation methodologies to ensure model robustness, safety, fairness, and minimize hallucination risks.
Collaborate closely with cross-functional teams—including business leaders, engineers, architects, and designers—to align AI systems with business objectives.
Support troubleshooting and issue resolution during testing phases as well as in production environments.
Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement.
Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.