Advanced AI Research Scientist Assoc Director (Hiring Immediately)

Responsibilities

• As an Advanced AI Research Scientist Associate Director, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems
• 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 and ability to remain 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 by the specific problem, you train and/or fine-tune generative AI models and evaluate their performance on the specific problem
• You justify the value of innovative generative AI or traditional Machine Learning approaches, or a combination of both, in solving business problems, and construct methodologies that clearly demonstrate their value
• You will direct and influence research directions and set strategic research priorities for both short-term and long-term workstreams
• You will collaborate with teams and leaders from both the business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals
• Participate in discussions to gather business use case requirements, provide AI expertise, and suggest AI solution options for business problems
• Design, develop, and implement advanced AI/ML models, especially LLM and other Gen AI models, from scratch or using existing foundation models through self-supervised learning, transfer learning, and fine-tuning techniques
• Develop and implement sophisticated Gen AI applications, including generative agents and architectures supporting multiple Gen AI models working together for complex tasks
• Lead technical teams and foster AI expertise within broader teams, including offshore members
• Collaborate with diverse, cross-functional teams to identify and prioritize requirements, ensuring AI solutions meet stakeholder needs
• Develop and execute AI solution project plans, including timelines and infrastructure dependencies
• Define and implement a value justification approach for AI solutions, estimate solution costs, and calculate ROI
• Create and maintain comprehensive technical documentation capturing solution details, IP, and facilitating knowledge transfer and future development
• Collaborate with academia to stay on the cutting edge of AI, providing leadership on AI trends, use cases, opportunities, and potential limitations, risks, and concerns
• Travel may be required, varying from 0 to 100% depending on business needs and client requirements

Full 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 depth and experience 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 formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

• 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 and ability to remain 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 by the specific problem, you train and/or fine-tune generative AI models and evaluate their performance on the specific problem.

• You justify the value of innovative generative AI or traditional Machine Learning approaches, or a combination of both, in solving business problems, and construct methodologies that clearly demonstrate their value.

• You will direct and influence research directions and set strategic research priorities for both short-term and long-term workstreams.

• You will collaborate with teams and leaders from both the business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

• Participate in discussions to gather business use case requirements, provide AI expertise, and suggest AI solution options for business problems.

• Design, develop, and implement advanced AI/ML models, especially LLM and other Gen AI models, from scratch or using existing foundation models through self-supervised learning, transfer learning, and fine-tuning techniques.

• Develop and implement sophisticated Gen AI applications, including generative agents and architectures supporting multiple Gen AI models working together for complex tasks.

• Lead technical teams and foster AI expertise within broader teams, including offshore members.

• Collaborate with diverse, cross-functional teams to identify and prioritize requirements, ensuring AI solutions meet stakeholder needs.

• Develop and execute AI solution project plans, including timelines and infrastructure dependencies.

• Define and implement a value justification approach for AI solutions, estimate solution costs, and calculate ROI.

• Create and maintain comprehensive technical documentation capturing solution details, IP, and facilitating knowledge transfer and future development.

• Collaborate with academia to stay on the cutting edge of AI, providing leadership on AI trends, use cases, opportunities, and potential limitations, risks, and concerns.

Travel may be required, varying from 0 to 100% depending on business needs and client requirements.

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