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Full stack Manager

multiple locations +view all Job No. r00202905 Full-time

Job Description

LLM and Gen AI Manager

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an AI and Large Language Model Senior Technical Lead, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.


- Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.  

- Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.  

- Analyze and evaluate the performance of Gen AI systems and provide design recommendations.  

- Estimate the effort and time required for deploying an end-to-end solution using LLMs

- Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns

- Analyze and make right technological choices for generative ai solutions

- Design and prototype reusable components for LLM based solution patterns

- Architect components of an LLM solution to address Responsible AI & Security

- Design LLM Ops solutions for large scale operationalization

- Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders.

- Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development.

- Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.

- Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility.


Basic Qualifications

- Minimum of 6 years of experience in architecting/designing AI models consisting of a neural network with many parameters, trained on large quantities of unlabeled text using self-supervised learning.

- Experience in designing & deploying LLM solutions using at least one leading LLM service provider

- Strong knowledge of the different technologies, their differences, modalities in the LLM space

- Knowledge of different LLM driven application architecture patterns

- Strong background in deep learning and neural networks, in particular training and large language models.

- Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

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


Alberta - Calgary, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal

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