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Added 13 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Administer and operate production-grade Azure Databricks or other cloud data platform environments including workspace provisioning, cluster management, job scheduling, and Unity Catalog…
Added 13 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
You will lead the development of shared AI/ML capabilities powering commercial products and services. Working with product and platform teams, you will own, develop and sustain harnesses…
Added 13 mins ago
SH
Manager, Analytics, Revenue, and Software Development
Scarborough Health Network
EO Head Office
- Full-time
Oversee the region's participation in Epic Cosmos, including data submission, data quality, governance of access and use, and promoting its use for research, benchmarking and quality…
Added 13 mins ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
Operational Transformation & Value Realization: Lead enterprise operational transformation initiatives across customer service, operations, digital channels, workforce productivity, and…
Added 13 mins ago
Product Owner, Direct Venture
Wawanesa Insurance
Calgary, AB · AB · Lethbridge, AB · Vancouver, BC · Wawanesa, MB · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Toronto, ON · ON · Montreal, QC · Edmonton, AB (Hybrid), AB · Hybrid - Canada, ON · North York - Toronto, ON (Hybr, ON
…location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered…
Added 13 mins ago
FM4 Commissioning Manager
VCNA
Bowmanville, ON
…contractor and OEM teams. The role provides the coordination, governance and operational focus required to ensure systems are ready for commissioning, plant personnel are prepared to assume…
Added 13 mins ago
Legal Counsel
Plan International Canada
Toronto, ON
…etc.), grant, sub-grant and international program agreements, data sharing and data processing agreements, and sponsorship and corporate partnership…
Added 13 mins ago
FS
Director, Fraud Supervision
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
To lead and provide oversight of FSRA’s Fraud Reporting Service (FRS), advances fraud supervision initiatives, and acts as FSRA’s lead regulatory liaison on fraud issues. Collaborating with…
Added 13 mins ago
Senior Data Analyst
Government of Alberta
AB
Lead the implementation of data governance frameworks, ensuring data is accurate, reliable, and consistent across government systems.
Added 13 mins ago
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Directeur(trice) / Director - Digital Platforms & Delivery Excellence
Genetec
Montreal, QC
- Full-time
Added 13 mins ago
CU
Managing Director, Finance & Operations
Credit Union Deposit Guarantee Corporation (Alberta)
AB · Greater Edmonton Metropolitan Area
- Full-time
Oversee financial systems, data governance and system configuration.
Added 13 mins ago
CO
BUSINESS ANALYST 311 #67732
City of Toronto
Toronto, ON
- Full-time
…processes, deliver priorities, use cases, requirements and governance practices, and leads cross-divisional initiatives from discovery through implementation, operational sustainment, and…
Added 13 mins ago
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Client Segment Strategy & Execution
Procom
Toronto, ON
- $60 to $64 CAD / hour
- Contract
We are seeking a strategic, results-driven Senior Manager to lead growth, engagement, and client experience strategies across two priority client segments, including the Canadian Defence…
Added 13 mins ago
QT
Technology Governance & Risk Advisor
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Position: Technology Governance & Risk Advisor
Added 13 mins ago
CW
Director, Education Technology
CPA Western School of Business
AB · Edmonton, AB
- Full-time
Lead quality assurance, testing, documentation, and governance activities.
Added 13 mins ago
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Senior Data Architect
Synechron
Montreal, QC
- Full-time
Added 28 mins ago
BUSINESS ANALYST 311
City of Toronto
Toronto, ON
…processes, deliver priorities, use cases, requirements and governance practices, and leads cross-divisional initiatives from discovery through implementation, operational sustainment, and…
Added 28 mins ago
Workplace Services LeadWest/Canada
WPP
Toronto, ON
Risk & Operational Governance: Ensure assigned properties comply with WPP and REWS risk, governance and operational excellence standards. Lead the identification, oversight, management and…
Added 28 mins ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
The Senior Manager, Credit Risk will lead and grow a team of Credit Risk Analysts, owning the day-to-day operations of the credit risk function while helping build it into something more…
Added 28 mins ago
RB
Associate Director, Operational Resilience
Royal Bank of Canada
Toronto, ON
- Full-time
…control environment and organizational preparedness. You will lead reporting activities and analytics to assess the effectiveness of resilience programs, provide data-driven insights to…
Added 28 mins ago
RB
Director, Enterprise Integration Services – OneRBC: CNB Integration
Royal Bank of Canada
Toronto, ON
- Full-time
Beyond CNB, you'll build RBC's M&A integration capability - establishing integration playbooks, standards, and governance models that position RBC to confidently and efficiently integrate…
Added 28 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Working knowledge of marketing technology platforms, CRM programs, system integrations, APIs, connectors, data flows, data fit-gap analysis, and data governance considerations.
Added 43 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Working knowledge of marketing technology platforms, CRM programs, system integrations, APIs, connectors, data flows, data fit-gap analysis, and data governance considerations.
Added 43 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 43 mins ago
Senior HR Business Partner
Payments Canada
Ottawa, ON · Toronto, ON
You want to be challenged and lead unique initiatives.

Derex Technologies Inc

AI Architect

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 30, 2026

Original job description

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

About the job

We are seeking a visionary and highly experienced AI Architect to lead the design and delivery of next‑generation intelligent solutions across our enterprise. This role is central to our digital transformation strategy and will focus on architecting robust, scalable, and secure AI-driven platforms and capabilities.

As an AI Architect, you will bring deep expertise in Artificial Intelligence, Machine Learning, Generative AI, Coding Assistants, AI Assistants, and Agile software engineering practices. You will guide the full AI lifecycle from conceptualization and solution design to model development, testing, and successful deployment into production environments. The ideal candidate will have a proven architectural background, hands‑on experience with modern AI platforms, and a strong track record of delivering complex, enterprise‑grade intelligent systems. You will collaborate closely with cross-functional technology and business teams to shape the future of our AI ecosystem and accelerate innovation across the organization.

Must Have Skills:

Strong hands-on programming expertise in at least one modern language such as Python, C#, Java, or JavaScript, with the ability to guide engineering teams on best practices.
Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.
Advanced understanding of Generative AI architectures, including GANs, VAEs, transformer-based models, and experience applying these techniques to real-world enterprise use cases.
Practical experience using AI Coding Assistants
Hands-on expertise with Agentic AI platforms, including Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude, and other autonomous workflow systems.
Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.
Solid experience architecting solutions on major cloud platforms (AWS, Azure, GCP), including familiarity with cloud-native AI, data, and security services.
Proven ability to mentor, guide, and provide architectural direction to junior and mid-level AI/ML engineers across multiple projects.
Ability to conduct AI/ML and Generative AI code reviews, ensuring adherence to architectural standards, performance benchmarks, and responsible AI practices.
Strong analytical and problem‑solving skills, including the ability to rapidly diagnose and resolve complex issues in AI systems, ML pipelines, and application runtimes.
Excellent communication skills, capable of translating complex AI concepts for both technical teams and business stakeholders.
Experience defining enterprise AI architectures, reference models, reusable design patterns, and establishing organization-wide architectural standards.
Ability to define and implement AI governance frameworks, including Responsible AI guidelines, compliance controls, model guardrails, safety protocols, and risk-mitigation practices.

Responsibilities:

AI & Machine Learning Architecture

Architect, design, and guide the implementation of enterprise grade AI and ML solutions that solve complex business problems and power intelligent applications.
Lead collaboration with data scientists, ML engineers, platform engineers, and software teams to integrate AI capabilities into products, platforms, and enterprise workflows.
Provide hands-on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
Oversee end-to-end data preparation, feature engineering, vectorization, and model development, ensuring data quality and readiness for LLMs and Generative AI workloads.
Continuously evaluate emerging advancements in AI, ML, LLMs, Agentic Systems, and incorporate relevant innovations into architectural roadmaps and solution designs.
Optimize AI and Generative AI models for performance, latency, scalability, observability, and cost efficiency, leveraging cloud-native and distributed compute environments.
Conduct and drive technical design reviews, code reviews, and architecture assessments to ensure high standards of quality and engineering rigor.
Diagnose, troubleshoot, and resolve complex AI system issues to maintain the reliability, accuracy, and security of production AI applications.

Generative AI, Copilots & Coding Assistants

Design and architect enterprise-wide capabilities leveraging AI coding assistants, copilots, and developer productivity tools (e.g., GitHub Copilot, Azure AI Studio assistants).
Lead the development of extensions, plugins, and integrations for IDEs like Visual Studio Code, IntelliJ IDEA, and Eclipse to embed AI-driven developer workflows.
Apply deep understanding of prompt engineering, LLM behaviour, context-window optimization, fine‑tuning, and agentic workflows to enhance solution performance.
Design, train, and evaluate custom generative models, exploring architectures such as GANs, VAEs, diffusion models, and transformer-based architectures.
Architect pipelines for data acquisition, cleaning, text chunking, retrieval augmentation (RAG), and ingestion into vector stores.
Integrate enterprise solutions with AI platforms and APIs such as OpenAI, Azure OpenAI, LangChain, and other orchestration frameworks.
Design and maintain the LLM data layer using technologies like Azure Cosmos DB, Azure AI Search, vector stores, and embedding indexes.
Develop agentic automation solutions using frameworks such as LangChain, LlamaIndex, Semantic Kernel, and AutoGen, and integrate them with enterprise systems.
Apply strong DevOps practices using CI/CD pipelines, GitHub Actions, Azure DevOps, and modern testing frameworks to maintain robust and automated AI development workflows.
Contribute to or lead copilot initiatives across domains such as application development, customer support, operations, and productivity automation.

Prompt Engineering

Design, test, and refine high‑quality prompts, prompt templates, and generative AI interaction models tailored to organizational use cases.
Work closely with product, content, and data teams to align prompt behaviour with business outcomes, brand voice, and user experience requirements.
Continuously improve prompt structures to enhance accuracy, relevance, safety, and contextual understanding within AI/LLM systems.
Experiment with novel prompting strategies - chain-of-thought, retrieval-augmented prompts, tool-augmented prompts, system message optimization - to improve AI performance.
Build and maintain an enterprise prompt library, ensuring versioning, governance, reuse, and integration into automated workflows and applications.
Participate in fine-tuning and reinforcement learning processes by designing ground‑truth prompts, evaluation prompts, and tuning datasets.
Diagnose and refine prompts that yield suboptimal or incorrect results, ensuring predictable and aligned LLM behaviour across use cases.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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More about this job

Responsibilities

The AI Architect will design and lead the implementation of enterprise-grade AI and machine learning solutions to solve complex business problems. They will collaborate with cross-functional teams to integrate AI capabilities into products and workflows while ensuring performance, scalability, and security.

Requirements

Candidates must have extensive hands-on experience in AI/ML frameworks, cloud platforms, and modern programming languages like Python. A proven track record in architecting complex intelligent systems and providing technical leadership is essential for this role.

Skills

Python
TensorFlow
PyTorch
Generative AI
Machine Learning
Cloud Architecture
MLOps
Agentic AI
Prompt Engineering
LLM
LangChain
Azure
AWS
Data Engineering
Software Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
Artificial Intelligence
Machine Learning
Generative AI
Python
TensorFlow
PyTorch
Keras
AWS SageMaker
Azure Machine Learning
Google AI Platform
MLOps
LLM
LangChain
Agentic AI
Prompt Engineering
RAG
Vector Stores
CI/CD
GitHub Copilot
Azure OpenAI
Distributed Computing
Data Engineering
Software Engineering
Enterprise Architecture
Governance
Agile
Cloud-native
System Integration
Technical Leadership

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