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Added 24 mins ago
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Added 24 mins ago
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Avanade

AI Architect, Manager

Toronto, ON, Canada

Job type: Full-time
Apply by: Dec 8, 2026
Posting language: English
Posted: Sep 1, 2026

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Original job description

The AI Architect is responsible for designing and developing scalable AI solutions aligned to a business strategy and benefits case as well as supporting as an AI technical advisor and SME to help our clients scale their AI programs. The AI Architect will need to understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client’s environmental requirements. The AI Architect takes ownership of technology related aspects of AI across the Microsoft ecosystem.

The AI Architect will adhere to Avanade’s AI methodologies and industry best practices and will be accountable for recommending appropriate technology solutions, delivering architectural/technical solution designs, and client proposals. To be successful in this role you will need to be confident in leveraging our global network (across Accenture, Microsoft, & our Partners), working together and openly sharing ideas, knowledge, and resources. You are proficient in creating AI solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses.

Day To Day, You Will

Facilitate team, client meetings and pre-sales presentations.
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution scope.
Analyze client processes, identify AI opportunities, and recommend approach based on analysis and client maturity.
Estimate, solution, design, and help drive and deliver AI deals.
Help build AI assets and enable internal and external stakeholders while growing capability and delivering high-quality solutions for clients.
Assist in delivery as AI SME, Solution Architect, or Technical Architect
Provide continuous advice, best practices, and quality assurance to AI project teams related to delivery approach and strategy.

Qualifications

Skills and Experience:

You’re an organized problem-solver with a talent for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the globe, to provide successful and accessible GenAI solutions that solve client problems.

Management Consulting & SI Experience is strongly preferred.
Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks such as TensorFlow, CUDA, ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI services.
Applying data and analytics to business use cases
Engineering background preferred in related areas – programming, custom software development, app dev.
Data profiling, cataloging and mapping to enable the design and build of technical data flows
Use validated methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
Experience in preparing data for consumption
.Net (Software Engineering)
Python (Analytics/Software Engineering)
LLM solution architecture & solution development (Generative AI / Azure OpenAI)
Time-Series Analytics (Analytics)
Real-time or near real-time streaming data analytics (Analytics)
Understanding of data science and machine learning principles (Analytics)
DevOps, MLOps, SDLC, Agile Development
Azure AI Services (including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services) and Azure ML.

Preferred Experience/Capabilities

You probably have a master’s degree or Ph.D. in a quantitative field such as computer science, applied mathematics, statistics or machine learning – or an equivalent combination of education and experience. You’re likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years.
Cross talent community skillset, one resource that has all these skills.
Strong management consultant
Strong software or engineer/architect
Decent data scientist
Decent infrastructure architect
Enterprise Architect
Can talk openly and easily about AI use cases in multiple industries (Manufacturing, Healthcare, Retail, Resources, etc.)
Strong communication and customer facing skills.
Capable of writing solid code
Comfortable in a hands-on position
Capable of seeing the big picture, and breaking it down to it’s discreet components (being a good architect)
Travel as needed.

Compensation at Avanade 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, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

See more information on our benefits here: Canada Employee Benefits | Avanade

Role Location Annual Salary Range

British Columbia/Ontario $145,000 to $172,000

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More about this job

Responsibilities

Design and develop scalable AI solutions aligned with business strategies while serving as a technical advisor for clients. Facilitate pre-sales presentations, translate business requirements into technical scopes, and provide quality assurance for AI project delivery.

Requirements

Requires 5-7 years of experience in AI/ML and software engineering, preferably with a background in management consulting and SI. Proficiency in Azure AI services, Python, .Net, and LLM architecture is essential.

Skills

AI Architecture
Generative AI
Azure OpenAI
Machine Learning
Python
.Net
MLOps
Azure AI Services
Computer Vision
Data Engineering
Management Consulting
Solution Design
Enterprise Architecture
Agile Development
DevOps
Time-Series Analytics

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
Azure AI Foundry
Azure Cognitive Services
Azure ML
TensorFlow
CUDA
ONNX
Caffe
LLM
Generative AI
SDLC
Data Profiling
Data Pipelines
System Integration
MSFT Certified Data Science Associate
IoT
Intelligent Automation
Enterprise Architect
Time-Series Analytics
Streaming Data Analytics
Management Consulting
SI Experience
Software Engineering
Computer Vision
Azure Data
Microsoft Ecosystem
Avanade
Accenture
Technical Solution Design
Pre-sales

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