Center for Advanced AI – LLM Full Stack Developer Graduate Intern – Full-time

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.

Center for AI gives graduate students the opportunity to work with experts and senior researchers across a wide range of emerging technologies, from artificial intelligence and Generative AI models, large language models, and much more.

We are looking for developer interns our Full Stack LLM Development team.

Full Stack LLM Development – We Specialize in developing, training, and fine tuning LLMs to improve performance and accuracy. We seamlessly integrate LLMs into products and services, leveraging natural language processing. Our approach involves designing AI prompts that guide LLMs to generate desired responses. By combining our expertise in LLM development, integration, and prompt design, we empower businesses to enhance their offerings and customer experience with AI-driven language models.

• Explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world client 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.

What you will do

• 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, 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.

• 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 thought leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns including a business perspective
• Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

#LI-DNI

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Basic Qualifications

• Currently enrolled in an MS or a PhD program in the field of Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics or a related field, with a focus on Generative AI and Foundation models.

• Anticipated graduation date (at the time of application) no earlier than December 2025.

• One year of experience in deep learning and neural networks, specifically, in training foundation models such as large language models, diffusion models OR developing scalable infrastructure to train and deploy foundation models on GPU clusters.

• Programming skills in Python or C++.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Artificial Intelligence, relevant technical field, or equivalent practical experience.

Preferred Qualifications

• Experience in designing and developing neural network models, especially deep learning model, and Foundation models.

• Experience in building, fine-tuning Foundation models including LLMs and multi-modal models.

• Strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.

• Working knowledge and familiarity with different LLM driven application architecture patterns.

• Experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.

• Working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.

• Proven experience with processor and system-level performance modelling.

• Experience in technical team management or team mentoring.

Participation in this internship program requires that you are physically located in the United States for the duration of the internship.

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 on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $63,800 to $205,800

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Minnesota $63,800 to $177,800

Maryland $59,100 to $164,600

New York $59,100 to $205,800

Washington $68,000 to $189,300

About Accenture
Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

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