Job Description

We Are

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, leveraging the expertise of more than 40,000 AI and data professionals across the company, our Generative AI and LLM Center of Excellence () brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced AI Research Scientist Associate Director, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.

• You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, applying these techniques with the right architecture to solve real-world problems.
• You have a deep understanding of and ability to stay at the forefront of generative AI, LLM, and multi-modal models, focusing on driving innovation by applying these techniques to new business problems, use cases, and scenarios.
• As needed, you train and/or fine-tune generative AI models and evaluate their performance on specific problems.
• You justify the value of innovative generative AI or traditional Machine Learning approaches in business problems and construct methodologies that clearly demonstrate their value.
• You set strategic research priorities for short-term and long-term workstreams and collaborate with teams and leaders from both business and technical sides to achieve project goals.

The Work

• Participate in discussions to gather business use case requirements, providing AI expertise and solution options.
• Design, develop, and implement advanced AI/ML models, especially LLM and other Gen AI models, from scratch or using foundation models via self-supervised learning, transfer learning, and fine-tuning.
• Develop sophisticated Gen AI applications, including generative agents and architectures supporting multiple models for complex tasks.
• Lead technical teams and foster AI expertise within the broader team, including offshore members.
• Work collaboratively across functions to identify and prioritize requirements, ensuring solutions meet stakeholder needs.
• Develop and execute project plans, including timelines and infrastructure dependencies.
• Define and implement value justification approaches, estimate costs, and calculate ROI.
• Create comprehensive technical documentation to facilitate understanding, knowledge transfer, and future development.
• Collaborate with academia to stay on the cutting edge of AI, providing leadership on trends, use cases, opportunities, and risks.

Travel may be required, varying from 0 to 100% based on business needs.

Here's What You Need

• 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 in building and fine-tuning foundation models including LLMs and multi-modal models.
• Strong knowledge of technologies, modalities, and architectures in the Gen AI space.
• Experience with deep learning, neural networks, GPUs, and system performance modeling.
• At least 4 years of experience in team management or mentoring.
• Bachelor's degree or equivalent work experience (minimum 12 years; if an associate's degree, then at least 6 years).

Additional information on compensation, benefits, and inclusion policies is available via provided links.

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