AI & LLM Architect
Accenture
This is a Contract position in Montreal, QC posted October 19, 2024.
We are:
The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.
Stronger together!
The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.
The value for our clients and our people
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.
The Work:
- As an AI and Large Language model Architect, 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.
- 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.
- 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.
- Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns
- Architect components of an LLM solution to address Responsible AI & Security
- Design and prototype reusable components for LLM based solution patterns
- Design LLM Ops solutions for large scale operationalization
