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 () brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

1. 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.
2. 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).
3. As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.
4. 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.
5. You'll also work collaboratively with teams & 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

1. 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.
2. 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.
3. Design, develop and implement highly sophisticated Gen AI based applications including generative agents and similar architectures which support multiple Gen AI models to work together for complex tasks.
4. Lead technical teams and grow true AI expertise within the broader team including offshore.
5. Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meet the needs and expectations of various stakeholders.
6. Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
7. Define and implement a value justification approach to the AI solutions; estimate solution cost with the right technological choices; and calculate ROI.
8. Create and maintain comprehensive technical documentation that captures the intricate details of the solution, capturing IP, facilitating seamless understanding, knowledge transfer, and future development.
9. Collaborate with academic partners to stay on the cutting edge of AI, especially Gen AI technologies, providing thought leadership on AI trends, AI use case innovation trends, new AI opportunities, or foreseeable limitations, 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.

Here's What You Need

1. Minimum of 6 years of experience in designing and developing neural network models, especially deep learning models, and Foundation models.
2. Minimum of 6 years of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
3. Minimum of 6 years of strong working knowledge of the different technologies, their differences, modalities in the Generative AI space.
4. Minimum of 6 years of working knowledge and familiarity with different LLM-driven application architecture patterns.
5. Minimum of 6 years of experience in deep learning and neural networks, particularly training and large language models with popular libraries and GPUs.
6. Minimum of 6 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
7. Minimum of 6 years of proven experience with processor and system-level performance modeling.
8. Minimum of 3 years of experience in technical team management or team mentoring.
9. Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York, or Washington as set forth below. We accept applications on an ongoing basis and there is no fixed deadline to apply.

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 $122,700 to $270,600

New York $122,700 to $338,300

Washington $141,100 to $311,200

#LI-NA-FY25

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. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

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 their 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 federal, state, or local 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 by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll-free at 1 (877) 889-9009, send us an email () or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

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 as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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