Advanced AI Research Scientist Associate Manager
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.
As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.
You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and 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 (with a focus 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 on the specific problem.
As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
Lead technical teams and grow true AI expertise within broader team including offshore
Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.
Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.
Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.