Accenture is stepping boldly into the new Data & AI decade to help clients optimize and reinvent their business with data & AI. The AI and Large Language Model Architect will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions.
Requirements
- Minimum of 6 years of experience in designing & deploying analytic solutions using at least one of the cloud vendors.
- Minimum of 1 year of experience and strong knowledge of the different technologies, their differences, modalities in the LLM space.
- Minimum of 2 years of experience and knowledge of different LLM driven application architecture patterns.
- Minimum of 6 years in deep learning and neural networks, in particular training of models.
- Minimum of 3 years of Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).
- Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable
- 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.
Responsibilities
- 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 large language models, algorithms, and methodologies to improve the overall quality of 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.
Other
- 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.
- Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
- Bachelor’s degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience.
- 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.
