Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | P in Vancouver

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers. AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.

AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core components to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production-ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them. You will be supporting Canadian Public Sector projects in this role.

Key job responsibilities

• Understand accurately the customer's business challenges and needs, structure the problems, and organise them as business requirements.
• Identify the technical requirements necessary to realise the business requirements and select the most relevant AI/ML services and algorithms.
• Collaborate with experts from related technical fields to design and validate ML solutions, while contributing to the development of an architecture integrating the required AWS services to achieve the customer's objectives.
• Assist our customer in developing ML and GenAI projects from start to finish: provide technical sales support, conduct exploratory data analysis, build and validate ML and/or GenAI solutions, deploy validated solutions on their supporting infrastructure, and provide training to our customers.
• Collaborate with ML Engineers, Cloud Architects, and Application Developers to create a production-ready ML or GenAI solution.

To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git and Docker, as well as with a range of ML and GenAI frameworks such as Strands-Agents, PyTorch, Transformers, etc.

AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About The Team

AWS values diverse experiences. Even if you do not meet all the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, if you have not followed a traditional path, or if you have alternative experiences, this should not prevent you from applying.

Why AWS?

Amazon Web Services (AWS) is the most comprehensive and widely adopted cloud computing platform in the world. We pioneered cloud computing and have never stopped innovating. That’s why our customers, from the most successful startups to Global 500 companies, trust our suite of products and services to run their businesses.

An inclusive team culture: At AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster an inclusive culture that allows us to take pride in our differences. Ongoing learning events and experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity), encourage us to never stop embracing our uniqueness.

Mentorship and career development: We continually raise the bar on performance, striving to be Earth’s best employer. That’s why you’ll find numerous knowledge-sharing resources, mentorship, and other career development resources to help you become a well-rounded professional.

Work-life balance: We place great importance on work-life balance. Professional success should never come at the expense of family sacrifices. That’s why flexible schedules and work arrangements are part of our culture. When we feel supported at work and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• Experience with AWS or cloud technologies.
• 5+ years of experience as a data scientist or ML Engineer with experience building ML models and GenAI systems.
• Fluency in French and English is required due to the nature of the role that requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada.

Preferred Qualifications

• Master's degree in engineering, computer science, machine learning, operations research, statistics, or related fields.
• Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and the ability to accurately determine cause and effect relationships.
• Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers.
• Experience consulting with customers (including user departments) on their AI and GenAI needs.
• Experience in building and maintaining MLOps systems, bringing models to production, and running data science development environments.
• Knowledge/experience of data governance principles and practices.
• Knowledge/experience of data consumption, visualization, and reporting.

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 this link for more information.