Overview
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 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 justify the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in business problems and construct methodologies that clearly demonstrate their value.
- You will direct/influence research direction and set strategic research priorities for short-term and long-term workstreams.
- You will work collaboratively with teams and leaders 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.
The Work
- Participate in 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, transfer 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 with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meet the needs and expectations of various stakeholders.
- Develop and execute an AI solution project plan with team, timeline, and infrastructure dependencies.
- 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, captures 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 leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitations, risks, and concerns.
Travel
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
What You Need
- Minimum of 7 years of experience in designing and developing neural network models, especially deep learning models, and foundation models.
- Minimum of 6 years of experience in building and fine-tuning foundation models including LLMs and multi-modal models.
- Minimum of 7 years of strong working knowledge of the different technologies and modalities in the Gen AI space.
- Minimum of 7 years of working knowledge of different LLM-driven application architecture patterns.
- Minimum of 7 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
- Minimum of 7 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
- Minimum of 7 years of proven experience with processor and system-level performance modeling.
- Minimum of 4 years of experience in technical team management or team mentoring.
- Bachelor's degree or equivalent work experience (minimum 12 years). If Associate's Degree, must have minimum 6 years work experience.
Compensation and Benefits
Compensation at Accenture varies depending on factors including location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles hired in certain U.S. states. Applications are accepted on an ongoing basis with no fixed deadline. Information on benefits is here:
Role Location Annual Salary Range
California $132,500 to $338,300
Colorado $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Minnesota $132,500 to $292,200
Maryland $132,500 to $292,200
New York/New Jersey $122,700 to $338,300
Washington $141,100 to $311,200
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What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here:
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of differences such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement.
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation, you will participate in the accommodation process. For accommodation needs, call 1-877-###-####, email, or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not require sponsorship for employment. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest. The Company will not discriminate against employees or applicants for discussing pay.
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