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Senior Software Engineer
Questrade Financial Group
Calgary, AB
- Full-time
Lead technical design and delivery of complex features and services - front-end, back-end, or both - documenting architectural trade-offs.
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QF
Head of Product & Technology
Questrade Financial Group
Toronto, ON
- Full-time
The Head of Product & Technology will bridge the gap between product strategy and technical infrastructure. You will lead a high-performing, co-located team of product directors and…
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Ship Maintenance Lead
Thales
Halifax, NS
- Full-time
Thales is looking for a Ship Maintenance Lead (SML) to oversee the planning, execution, and closeout activities for each vessel Short Work Period or Docking Work Period. As the Work Package…
Added 2 hours ago
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Senior Business Analyst #26-28952
US Tech Solutions
Toronto, ON
- Contract
The successful candidate will lead business analysis activities across business and technology stakeholders, focusing on requirements gathering, data and document migration, metadata…
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Senior Business Analyst - Legal Document Management Migration
Kelly
Toronto, ON
- Contract
📍 Toronto, ON (Hybrid/Onsite - 4 Days Per Week)
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Gen AI Architect (Hybrid)
Cognizant
Toronto, ON
- Full-time
…and will collaborate with business leaders, product teams, data engineers, application architects, platform engineers, and client stakeholders to accelerate AI adoption and business…
Added 2 hours ago
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Manager, AI Platform Engineering , Agent Platform Organization
Amazon
Toronto, ON
- Full-time
We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines, models, and platform infrastructure that power…
Added 3 hours ago
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Business Development Manager
The Seaboard Transport Group
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- Full-time
You’ll lead the full sales cycle, grow customer accounts, and partner with operations to deliver dependable service. Bring your ambition, connect with customers, and help drive Seaboard’s…
Added 3 hours ago
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Project Management Manager – (SC&E)
Accenture
Montreal, QC
- Full-time
…combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services,…
Added 3 hours ago
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Supply Chain & Engineering – Manager, Warehousing Functional Lead (WMS & Distribution Center Operations)
Accenture
Toronto, ON
- Full-time
Minimum of 7 years of experience in distribution center operations, WMS implementation, or supply chain technology delivery, including at least 4 years in a hands-on WMS functional lead or…
Added 3 hours ago
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Associate Creative Director, Copy - Pharma
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
- Full-time
Life Sciences - a new breed of agency that believes that better experiences lead to better health. Our team focuses on creating experiences that empower people to take greater ownership of…
Added 3 hours ago
FC
Manager, Architecture
Fidelity Canada
Toronto, ON
- Full-time
…skills. They will work closely with Business, Engineering, Data, AI and Technology teams to translate enterprise architecture direction into practical solutions, guide complex technology…
Added 3 hours ago
FC
Director, Architecture
Fidelity Canada
Toronto, ON
- Full-time
…and people leadership across enterprise, domain, solution and data architecture, ensuring these capabilities evolve in support of the firm's business priorities, technology modernization…
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Contract Logistics Inventory Manager
Kuehne+Nagel
Mississauga, ON
- $90,000 to $115,000 CAD / year
- Full-time
…equipment and space for the safe, high-quality and productive delivery of third-party logistics services to the…
Added 3 hours ago
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Events & Community Lead
Mecka.ai
Richmond Hill, ON
- $100,000 to $140,000 CAD / year
- Full-time
Run challenges and benchmarks built on our public sample data, with the research and delivery teams.
Added 4 hours ago
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Florenceville-Bristol, NB
- Full-time
…SharePoint-based solutions, implement customizations, and support delivery across the application…
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Engineering Lead - AI Enablement
Scotiabank
Toronto, ON
The AI Enablement Lead will partner with Engineering, Architecture, Product, Data, Risk, Cybersecurity and Enterprise AI teams to move AI opportunities from discovery and experimentation…
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Associate Product Manager
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Edmonton, AB
Lead the product journey. Communicate a vision, strategy, roadmap, and releases aligned to business outcomes. Drive the product lifecycle from ideation, problem validation, solution…
Added 4 hours ago
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Finance Director, Canada
JLL
Toronto, ON · CAN-CORP Toronto-Toronto, Canada
- Full-time
Lead the preparation, management, consolidation, and delivery of the annual financial plan, reforecasts, and long-range planning efforts.
Added 4 hours ago
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Project Support Services - Suppliers
PTAG
Chalk River, ON
- Contract
Our mission is to help our clients achieve successful delivery and efficient operation of their capital projects.
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Engineering Lead - AI Enablement
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Implementation Consultant Professional Services (AI Companies)
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Toronto, ON
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AI Project Manager / Product Owner – Enterprise AI, Microsoft Copilot, ChatGPT & Generative AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
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- Full-time
We are seeking a seasoned Project Manager / Product Owner to lead cross-functional AI initiatives, with a primary focus on the enterprise deployment and enablement of the firm’s end user AI…
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Project Manager / Product Owner (AI)
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Montreal, QC
- Full-time
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Cognizant

Gen AI Architect (Hybrid)

Toronto, ON, Canada

The base salary for this position ranges between $89,550 – $141,500 per year. · Full-time

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Job details

Pay: The base salary for this position ranges between $89,550 – $141,500 per year.
Job type: Full-time
Apply by: Dec 13, 2026
Experience: 12+ years of experience in enterprise architecture, solution architecture, AI platforms, data engineering, or related technology leadership roles.
Posting language: English
Posted: Nov 13, 2026

Original job description

Gen AI Architect

About The Role

As an Gen AI Architect, you will make an impact by defining and advancing enterprise-scale AI platform architecture that enables innovative, secure, and scalable AI solutions across global business functions. You will be a valued member of the AI and Digital Engineering organization and will collaborate with business leaders, product teams, data engineers, application architects, platform engineers, and client stakeholders to accelerate AI adoption and business value.

In This Role, You Will

Define and govern enterprise AI platform architecture, ensuring alignment between business objectives, technology strategy, security standards, and operational requirements across global markets.
Design scalable AI and Generative AI solution architectures that integrate seamlessly with enterprise data, application, and cloud ecosystems.
Lead the development of Python-based frameworks, services, APIs, and orchestration workflows that support production-grade AI solutions and reusable platform capabilities.
Establish AI platform standards, reference architectures, governance frameworks, and best practices that enable rapid and compliant solution delivery.
Partner with business and technology stakeholders to identify and deliver AI use cases across the Cards and Payments domain, including fraud detection, transaction intelligence, risk monitoring, and customer experience optimization.
Drive the adoption of responsible AI practices by addressing model performance, explainability, fairness, scalability, and regulatory requirements.
Guide engineering teams on platform observability, monitoring, logging, performance optimization, and operational excellence for AI-powered services.
Evaluate emerging AI technologies, cloud services, and industry trends to shape the enterprise AI roadmap and long-term investment strategy.
Assess architectural risks, including model drift, data quality challenges, scalability concerns, and operational vulnerabilities, and implement mitigation strategies.
Lead technical planning, solution estimation, architecture reviews, and executive-level discussions for strategic AI initiatives.
Develop and maintain architecture documentation, design patterns, platform standards, and technical governance artifacts.
Consistently demonstrate the Cognizant Way to Lead by building trust, fostering collaboration, driving strategic vision, delivering business outcomes, and promoting an inclusive culture.

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto ,Ontario . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

What You Need To Have To Be Considered

12+ years of experience in enterprise architecture, solution architecture, AI platforms, data engineering, or related technology leadership roles.
Deep expertise designing and implementing enterprise-scale AI, Machine Learning, and Generative AI platforms within complex, regulated environments.
Strong experience translating business objectives into scalable and secure architecture blueprints and technology roadmaps.
Advanced hands-on proficiency with Python and modern software engineering practices for building APIs, automation solutions, orchestration frameworks, and data processing services.
Proven experience deploying and operationalizing Generative AI solutions, including foundation models, prompt engineering, evaluation methodologies, RAG architectures, and responsible AI controls.
Strong understanding of cloud-native architecture, distributed systems, enterprise integrations, API ecosystems, and platform engineering principles.
Experience establishing architecture governance, standards, and best practices across multiple delivery teams and business units.
Demonstrated success leading cross-functional teams and influencing senior stakeholders in large-scale transformation programs.
Strong analytical, problem-solving, and decision-making skills with the ability to balance innovation, risk, and business value.
Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business.
Embodiment of Cognizant's Values: Work as One, Dare to Innovate, Raise the Bar, Do the Right Thing, and Own It.

These Will Help You Stand Out

Experience in the Cards and Payments industry, including payment processing, transaction systems, fraud prevention, compliance, and regulatory frameworks.
Expertise with cloud AI platforms such as Microsoft Azure AI, AWS AI/ML Services, or Google Cloud Vertex AI.
Experience with MLOps, LLMOps, model lifecycle management, and AI governance frameworks.
Familiarity with vector databases, knowledge retrieval systems, and Retrieval-Augmented Generation (RAG) architectures.
Advanced stakeholder management and executive communication experience within global organizations.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary And Other Compensation

Applications will be accepted until December 13th , 2026.

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $89,550 – $141,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

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More about this job

Responsibilities

Define and govern enterprise AI platform architecture, standards, and roadmaps, and lead the design and development of scalable AI and Generative AI solutions integrated with enterprise data, applications, and cloud systems. Guide cross-functional teams and stakeholders in delivering responsible, production-ready AI use cases, particularly in Cards and Payments, while managing architecture risks and operational excellence.

Requirements

Requires 12 or more years of experience in enterprise or solution architecture, AI platforms, data engineering, or related technology leadership, with deep expertise in enterprise-scale AI, machine learning, and Generative AI. Candidates need advanced Python skills, experience operationalizing Generative AI and cloud-native platforms, and a record of establishing architecture governance and leading cross-functional teams.

Skills

Enterprise AI Architecture
Generative AI
Machine Learning
Python
API Development
Prompt Engineering
Retrieval-Augmented Generation
Responsible AI
Cloud-Native Architecture
Distributed Systems
Platform Engineering
Architecture Governance
MLOps
LLMOps
Vector Databases
Stakeholder Management

Benefits

Wellbeing Programs
Performance-Based Bonus

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Architecture
Solution Architecture
AI Platforms
Artificial Intelligence
Machine Learning
Generative AI
Python
Foundation Models
Prompt Engineering
Model Evaluation
Retrieval-Augmented Generation
Vector Databases
Knowledge Retrieval Systems
Microsoft Azure AI
AWS AI/ML Services
Google Cloud Vertex AI
MLOps
LLMOps
Model Lifecycle Management
AI Governance
Responsible AI
Cloud-Native Architecture
Distributed Systems
Enterprise Integrations
API Ecosystems
Platform Engineering
Cards and Payments
Fraud Detection
Transaction Intelligence
Risk Monitoring

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Jobs in Canada