Advanced AI Research Scientist Assoc Director

Accenture; Oklahoma City (OK); On-site; USD 120,000 - 200,000; Full time

Job summary

An established industry player is seeking an Advanced AI Research Scientist Associate Director to lead innovative AI and Machine Learning solutions. This role involves formulating practical solutions for real-world problems, guiding teams in implementing cutting-edge methodologies, and collaborating with various stakeholders to ensure project success. With a focus on generative AI and LLMs, you will drive innovation and contribute to the development of sophisticated AI applications. Join a forward-thinking company that values expertise and creativity in the rapidly evolving field of AI.

Qualifications

• 7+ years in designing neural networks and deep learning models.
• Experience with LLMs and multi-modal models for AI applications.

Responsibilities

• Lead teams to develop and implement advanced AI/ML models.
• Collaborate with cross-functional teams to meet project goals.

Skills

Neural Network Design

Deep Learning Models

Generative AI Technologies

LLM Application Architecture

Team Management

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

GPUs

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 depth and experience of more than 40,000 AI and data professionals across the company, our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-...) 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 solutions.

+ 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.

+ Maintain a deep understanding of generative AI, LLM, and multi-modal models, focusing on driving innovation by applying these techniques to new business problems, use cases, and scenarios.

+ Train and/or fine-tune generative AI models as needed for specific problems, evaluating their effectiveness.

+ Justify the value of innovative generative AI or traditional Machine Learning approaches in business contexts, constructing methodologies that demonstrate their value clearly.

+ Set strategic research priorities and direct research directions for short-term and long-term workstreams.

+ Collaborate with both 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 use case requirements, providing AI expertise and solution options.

+ Design, develop, and implement advanced AI/ML models, especially LLMs 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.

+ Collaborate with cross-functional teams to identify requirements and ensure AI solutions meet stakeholder needs.

+ Develop and execute project plans, including timelines and infrastructure dependencies.

+ Implement value justification approaches, estimating solution costs, technological choices, and ROI.

+ Maintain comprehensive technical documentation for knowledge transfer and future development.

+ Collaborate with academia to stay at the forefront 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 7 years of experience in designing and developing neural network and deep learning models, especially foundation models.

+ Minimum 6 years of experience in building and fine-tuning foundation models, including LLMs and multi-modal models.

+ Minimum 7 years of strong knowledge of technologies and modalities in the Generative AI space.

+ Minimum 7 years of experience with LLM-driven application architecture patterns.

+ Minimum 7 years of experience in deep learning with libraries and GPUs.

+ Minimum 7 years of knowledge of computer architecture and GPU fundamentals.

+ Minimum 7 years of experience with processor and system performance modeling.

+ Minimum 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).

Compensation varies based on location, role, skills, and experience. Applications are accepted on an ongoing basis with no fixed deadline. For benefits details, visit https://www.accenture.com/us-en/careers/local/total-rewards.