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The beginning of a current 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 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company, the Generative AI and LLM Center of Excellence brings together experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem.

You Are: As an AI and Large Language Model Consultant, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Models) platform systems and solutions. You will translate a business roadmap into technical requirements and architecture, shaping cutting‑edge architectures, frameworks, and methodologies in natural language processing and machine learning. You will architect sophisticated LLM-based applications that process and generate natural language, and integrate and customize LLMs with diverse business applications while maintaining a deep understanding of the evolving Gen‑AI and Agentic stack.

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 overall quality of Gen AI products, applications and systems.





Develop large language model (LLM)-based applications using open‑source frameworks such as A2A, MCP, Semantic Kernel, LangChain, Llama Index.

Adapt LLMs to improve performance, accuracy and alignment of general‑purpose models.

Develop and integrate LLMs and/or LLM applications into products and services.

Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent based on the technical design.

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

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 identify and prioritize requirements, ensuring the language model meets stakeholder needs.

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





Harness the power of transformer architecture to optimize language model performance and efficiency.

Exploit transformer capabilities to process and reshape vast volumes of data, achieving unprecedented accuracy and versatility.

Travel may be required for this role.

What you need:

Minimum 3 years in AI engineering, machine learning, deep learning and NLP solutions and applications.

Minimum 3 years of experience in designing & deploying AI/ML solutions using at least one cloud vendor.

Minimum 2 years of experience in engineering teams with one or more programming languages/frameworks such as Python, JavaScript, Java, Spring or GoLang, and mastery of an AI framework like Autogen, LangGraph or Semantic Kernel.

Minimum 1 year of experience architecting and operationalizing LLM‑driven application architecture patterns.

Bachelor’s Degree or college diploma in a related field.

English required for this position.

Bonus Points if you have:

Fine‑tuning language models, handling multi‑modal inputs and outputs.

Experience in Agentic workflows, Advanced Retrieval Augmentation Generation (RAG) design patterns and data pipelines.

Experience developing applications for both mobile and web platforms.

Compensation Compensation at Accenture varies depending on a wide array of factors, including office location, role, skill set and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles hired as set forth below.

Role Location | Annual Salary Range

British Columbia/Ontario: $69,450 to $119,450

Information on benefits is available here.

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📌 Full Stack LLM Developer (Toronto)
🏢 Accenture
📍 Toronto