Key job responsibilitiesThe AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.In this role, your creativity will link technology to tangible solutions, with the prospect to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.G. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.G. through workshops, user groups, meetups, public speaking, online videos or conferences).If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.Technical Leadership and Mentorship: Lead hands‑on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.Basic Qualifications7+ years of in design/implementation/operations/consulting with distributed applications experience5+ years of management of technical,



enterprise customer facing resources or equivalent experience5+ years of working with or evaluating AI systems experienceExperience implementing AI solutions that can include integration of LLMs/multi‑modal FMs in large scale systems, fine‑tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering and MLOps.Hands‑on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private‑network AI environments, and practical experience implementing Retrieval‑Augmented Generation using embeddings, vector stores and semantic search optimisation.Preferred QualificationsCloud Technology Certification, or AWS certification, such as AWS Solutions Architect, or a similar cloud certificationExperience communicating across technical and non‑technical audiences and at C‑level, including training, workshops, publicationsMaster's degree or equivalent in computer science, mathematics, statistics,



machine learning or equivalent quantitative fieldStrong ability to determine solution strategy and where to simplify or extend solutions for the best outcomeAbility to influence customer and internal business decision makers as a technical thought leaderExperience in running and fine‑tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA, Instruction Tuning and RLHF to optimise for specific domain tasks.Expertise in architecting AI systems within highly regulated or security‑sensitive environments (e.G., Financial Services, Healthcare, Public Sector).Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.Jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D; insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.CAN, ON, Toronto - 146,000.00 - 211,600.00 CAD annually#J-18808-Ljbffr

📌 Senior Ai Solution Architect, Specialist Sa - C$146,000 - C$211,600 A Year (Toronto)
🏢 Amazon
📍 Toronto