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M
Software Engineer II
Microsoft
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- Full-time
We are building the next generation of messaging infrastructure at the intersection of distributed systems and AI.
Added 14 mins ago
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Verification Engineer, Senior
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- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 29 mins ago
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Lead Product Manager, Technical
Jobgether
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- Full-time
…impact. Working at the intersection of product strategy, data, infrastructure, and emerging technologies, you will help create scalable, reliable, and secure solutions. You will also…
Added 29 mins ago
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Software Engineer Intern, Pipeline Infrastructure
Walt Disney Animation Studios
Vancouver, BC
- $34 CAD / hour
- Full-time
The Pipeline Infrastructure team, within the Production Technology department, is responsible for architecting systems to support the production pipeline by implementing new solutions for…
Added 1 hour ago
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Senior Technical Recruiter
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- Full-time
LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in…
Added 1 hour ago
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AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 1 hour ago
GC
Machine Learning Research & Engineering Specialist
Gramian Consulting Group
Remote, Canada
- Contract
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SENIORITY: Experienced / Research-Level Engineer
Added 1 hour ago
RI
AI Engineer
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Remote, Canada
- Full-time
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As our AI Engineer, you will turn the data flowing through Remarcable every day (purchase orders, quotes, invoices, inventory and supplier catalogs) into AI features that save contractors…
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Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
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Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
Added 2 hours ago
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Product Development Engineer - Mechanical Design For Liquid Cooling
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Added 2 hours ago
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Solutions Designer, Splunk Montreal, Quebec, Canada
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Added 2 hours ago
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Principal Software Engineer, Docker Hardened Images
Docker
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- Full-time
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…providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by…
Added 2 hours ago
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Intermediate Mechanical Engineer
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Tetra Tech is adding a Intermediate Mechanical Engineer to our Mechanical team based in Thunder Bay, ON . This is a new vacant position for which we are actively recruiting.
Added 2 hours ago
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Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
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Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
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Vancouver, BC
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AI Engineer, Data, AI and Analytics
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Collaborate with Cloud Operations and Infrastructure teams to maintain secure, reliable, and performant production environments.
Added 3 hours ago
TI
Software Engineer
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Kamloops, BC · Canada - Kamloops, BC
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Privacy Operations Engineer
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Senior Engineer, Geotechnical
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Marketing Technology Lead Developer
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Added 3 hours ago
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Lead Solution Engineer, ECS, Public Sector
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Added 4 hours ago
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Hardware, Calibration Engineer
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Added 4 hours ago
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Network Engineer
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Added 4 hours ago
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Collaborate with Cloud Operations and Infrastructure teams to maintain secure, reliable, and performant production environments.

Avanade

AI Architect, Manager

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

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.

What You'll Do

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 $148,000 to $175,000

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More about this job

Responsibilities

Design and deliver scalable AI solutions aligned with client business strategies, including architecture, technical designs, proposals, and deal estimation. Advise and support client and project teams, identify AI opportunities, and help develop AI capabilities and assets.

Requirements

The role calls for approximately five to seven years of relevant experience, strong consulting and software or architecture capabilities, and hands-on experience with AI, machine learning, Azure data and AI services, and data pipelines. A master’s degree or Ph.D. in a quantitative field, or equivalent education and experience, is preferred; strong communication, coding, and client-facing skills are also expected.

Skills

AI Solution Architecture
Generative AI
Azure OpenAI
Machine Learning
Data Analytics
Azure AI Services
Python
.NET
Computer Vision
Data Engineering
Real-Time Analytics
MLOps
DevOps
Agile Development
Enterprise Architecture
Client Consulting

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Azure AI Foundry
Azure OpenAI
Azure Cognitive Services
Azure Machine Learning
TensorFlow
CUDA
ONNX
Caffe
Python
.NET
Computer Vision
Time-Series Analytics
Real-Time Streaming Analytics
Data Pipelines
Data Profiling
Data Cataloging
System Integration
DevOps
MLOps
SDLC
Agile Development
AI Architecture
Enterprise Architecture
Management Consulting
Solution Design
Machine Learning
IoT
Intelligent Automation

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