We Are
Accenture helps companies leverage generative AI to reinvent their enterprises and optimize business functions for breakthrough innovation and competitive advantage. Our Generative AI and LLM Center of Excellence () brings together experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem, supported by over 1,600 professionals dedicated to generative AI and more than 40,000 AI and data professionals across the company.
You Are
As an Advanced AI Research Scientist Associate Director, you will formulate real-world problems into practical, scalable AI and Machine Learning solutions.
+ Lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, applying these with appropriate architecture to solve real-world problems.
+ Maintain a deep understanding of generative AI, LLM, and multi-modal models, focusing on driving innovation through new business applications, use cases, and scenarios.
+ Train and fine-tune generative AI models as needed, evaluating their effectiveness for specific problems.
+ Justify the value of innovative generative AI or traditional Machine Learning approaches in business contexts, constructing methodologies that demonstrate their value.
+ Set strategic research priorities and direct research efforts for short-term and long-term workstreams.
+ Collaborate with business and technical teams, including users, business owners, engineers, architects, and UI designers, to achieve project goals.
The Work
+ Engage in discussions to gather business requirements, providing AI expertise and solution options.
+ Design, develop, and implement advanced AI/ML models, especially LLM and other generative AI models, using techniques like self-supervised learning, transfer learning, and fine-tuning.
+ Develop sophisticated generative 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.
+ Collaborate across functions to identify requirements and ensure solutions meet stakeholder needs.
+ Develop and execute project plans, including timelines and infrastructure considerations.
+ Implement value justification approaches, estimate costs, and calculate ROI for AI solutions.
+ Maintain comprehensive technical documentation to facilitate understanding, knowledge transfer, and future development.
+ Work with academia to stay at the forefront of AI, providing leadership on trends, use cases, and potential risks.
Travel may be required, varying from 0 to 100% based on business needs.
Here's What You Need
+ Minimum 7 years of experience in designing and developing neural network models, especially deep learning and foundation models.
+ Minimum 6 years of experience in building and fine-tuning foundation models, including LLMs and multi-modal models.
+ Extensive knowledge of technologies, modalities, and architectures in the generative AI space.
+ Experience with application architecture patterns driven by LLMs.
+ Proven experience with deep learning, neural networks, GPU libraries, and system performance modeling.
+ At least 4 years of experience managing or mentoring technical teams.
+ Bachelor's degree or equivalent work experience (minimum 12 years; if an associate’s degree, minimum 6 years).
For more details on compensation, benefits, and our commitment to diversity and inclusion, please visit our website links provided.
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