Full Stack Large Language Model Developer Associate Director

We Are

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With over 45,000 professionals dedicated to Data & AI, Accentures 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 teamsincluding business leaders, engineers, architects, and designersto 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.

Heres what you need

• Minimum of 5 years of demonstrated expertise in successfully designing and building resilient AI systems or products, using Evals in AI systems, Continuous Integration, Continuous Delivery, Pair Programming, and Test-Driven Development with the ability to author robust Unit, Integration, and Functional Tests, ensuring software quality at all stages of the development process.

• Minimum 5 years of experience designing and creating AI Solutions using design patterns like retrieval augmentation generation (RAG) and handling data pipelines.

• Minimum of 5 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like Autogen, LangGraph or Semantic Kernel.

• Minimum of 5 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc.)

• Minimum of 4 years of experience working in AI Engineering for business applications or building products with strong understanding with fine tuning & prompt engineering.

• Minimum of 3 years of experience leading a team or being part of team management, preferably in AI-driven project environments.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate's degree, must have minimum 6 years' work experience)

Bonus Points if you have

• Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using advanced techniques such as self-supervised and transfer learning.

• Experience designing value justification frameworks for AI solutions, including cost estimation, ROI calculation, and tradeoff analysis.

• Built AI solution that utilize Model Context Protocol, Agent to Agent protocols

• Experience in developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $163,000 to $434,000

Colorado $163,000 to $375,000

District of Columbia $173,500 to $399,300

Illinois $150,900 to $375,000

Minnesota $163,000 to $375,000

Maryland $163,000 to $375,000

New York/New Jersey $150,900 to $434,000

Washington $173,500 to $399,300

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