AI Architecture Lead

Job Responsibility: 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 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. 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.Your will be required to have and maintain a deep understanding of the evolving Gen AI and Agentic stack and expertise in leveraging it to build Gen AI-enabled applications and agentic workflows that deliver business value. Position 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 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.
• Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What you need:

• Minimum of 6 years in AI engineering, machine learning, deep learning and NLP solutions and applications.
• Minimum of 4 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like Autogen, LangGraph or Semantic Kernel.
• Minimum of 4 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc)
• Minimum of 2 years of experience leading a team or being part of team management, preferably in AI-driven project environments.
• Bachelor’s degree or completion of college degree in related field

English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Bonus Points if you have

• Fine Tuning Language Models, handing multi-modal inputs and outputs
• Experience in Agentic workflows, Advanced Retrieval Augmentation Generation (RAG) design patterns and handling data pipelines.
• Experience in developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments.

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, based on full-time employment, for roles that may be hired in British Columbia as set forth below. Information on benefits is here. Role Location Annual Salary RangeBritish Columbia $91,400 to $220,400