Advanced AI Research Scientist Assoc Director

Position Overview

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI and leveraging the expertise of more than 40,000 AI and data professionals, our Generative AI and LLM Center of Excellence brings together experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem. As an Advanced AI Research Scientist Associate Director, you will formulate real‐world problems into practical, efficient, and scalable AI/ML solutions while guiding teams and setting strategic research priorities.

Key Responsibilities

• Lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms.
• Stay at the forefront of generative AI, LLM, and multi-modal models by applying these techniques to innovative business problems and use cases.
• Train and/or fine-tune generative AI models as needed and evaluate their performance on specific problems.
• Justify the value of innovative generative AI or traditional machine learning approaches by constructing methodologies that clearly demonstrate their benefit.
• Direct and influence research direction while setting strategic research priorities for both short-term and long-term workstreams.
• Collaborate with cross-functional teams—including business owners, engineers, architects, and UI designers—to achieve end-to-end project development goals.
• Participate in internal and external discussions to gather business use case requirements and provide on-the-spot AI expertise and solution options.
• Design, develop, and implement advanced AI/ML models, including LLM and other generative AI models, using techniques like self-supervised learning, transfer learning, and fine-tuning.
• Build sophisticated Gen AI-based applications, such as generative agent architectures that support multiple AI models working together for complex tasks.
• Lead technical teams and foster deep AI expertise across broader teams, including offshore resources.
• Develop and execute AI solution project plans by defining timelines, infrastructure dependencies, and calculating ROI.
• Create and maintain comprehensive technical documentation to capture intricate solution details and intellectual property.
• Collaborate with academic partners to remain current on AI trends, emerging opportunities, and potential risks.

Required Qualifications

• Minimum of 7 years of experience in designing and developing neural network models, especially deep learning and foundation models.
• Minimum of 6 years of experience building and fine-tuning foundation models, including LLMs and multi-modal models.
• Minimum of 7 years of strong working knowledge of generative AI technologies and LLM-driven application architecture patterns.
• Minimum of 7 years of experience in deep learning and neural networks, particularly training large language models using popular libraries and GPUs.
• Minimum of 7 years of working knowledge of computer architecture, with familiarity in GPU fundamentals.
• Minimum of 7 years of proven experience with processor and system-level performance modeling.
• Minimum of 4 years of experience in technical team management or mentorship.
• Bachelor's degree or equivalent (minimum 12 years of work experience); Associate’s Degree with a minimum of 6 years of work experience is also acceptable.

Compensation & Benefits

• California: $132,500 to $338,300
• Colorado: $132,500 to $292,200
• District of Columbia: $141,100 to $311,200
• Illinois: $122,700 to $292,200
• Minnesota: $132,500 to $292,200
• Maryland: $132,500 to $292,200
• New York/New Jersey: $122,700 to $338,300
• Washington: $141,100 to $311,200
• Additional benefits information is available on our career page.