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RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
A leading global financial institution is seeking an experienced QA Consultant specializing in Treasury, Payments, and Transaction Services to join its enterprise technology team.
Added just now
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
…systems, AI-assisted software development, intelligent automation, enterprise integration, and business process transformation. Frontier Deployed Engineers move beyond experimentation by…
Added just now
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Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
…driving the direct remediation of software vulnerabilities across enterprise application teams. This individual contributor / team-level technical lead works alongside application…
Added just now
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Architecte PLM Senior / Senior PLM Architect
Airbus
Mirabel, QC · Montreal, QC
- Full-time
…d'ingénierie unifiés et d'un ensemble d'outils pour soutenir l'intégration de nos centres de compétences en ingénierie, ainsi que des fonctions périphériques telles que les Opérations, le…
Added 30 mins ago
OI
Senior Oracle Asset Management Advisor
OXARO Inc.
Ottawa, ON
- Contract
Lead the deployment and integration of Oracle asset management best practices across internal teams.
Added 31 mins ago
KR
AI Architect
KTek Resourcing
Toronto, ON
- Contract
The ideal candidate will combine architecture leadership, platform integration expertise, and strong stakeholder collaboration skills to drive scalable and automated marketing operations.
Added 31 mins ago
IF
Salesforce Solution Architect
iA Financial Group
Vancouver, BC · Toronto, ON · Montreal, QC · Quebec, QC
- $120,000 CAD / year
- Full-time
Design and evolve solutions across system, technology and organizational dimensions, including integration, development, security, performance, availability, cloud computing and mobility.
Added 31 mins ago
IF
Security Solutions Architecture Advisor
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…capabilities, including Data Loss Prevention (DLP), as well as the integration of Data Security Posture Management (DSPM) capabilities into the data protection ecosystem to support the…
Added 31 mins ago
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Product Manager - SOTI MobiControl
SOTI
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
At least 4 years of product management experience in enterprise software or SaaS.
Added 31 mins ago
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Software Engineer II
TD
Toronto, ON
- Full-time
Adhere to enterprise frameworks and software engineering methodologies.
Added 31 mins ago
MM
Oracle EPM Analyst
Marsh McLennan
Toronto, ON
- Full-time
We are seeking a highly experienced professional with a minimum of 4 years of experience in implementing Enterprise Planning and Budgeting Cloud Services (EPBCS/PBCS) or Hyperion Planning…
Added 46 mins ago
PG
Salesforce Platform Support
Pacer Group
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
4+ years of relevant experience in application/production support, preferably in enterprise or banking environments.
Added 46 mins ago
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Cartographer – ALTO project / Cadence
SYSTRA
Montreal, QC
- Full-time
…in ArcGIS Pro, with data accessed and shared through ArcGIS…
Added 46 mins ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
· Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
Added 46 mins ago
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GIS Project Manager – ALTO project / Cadence
SYSTRA
Montreal, QC
- Full-time
Provide delivery oversight for enterprise GIS platforms and spatial data integration and automation solutions.
Added 46 mins ago
C
Project Analyst Co-op- Winter 2027
CIBC
Toronto, ON
- Full-time
…organized project data assets by applying data organization, integration, visualization, and automation principles. Use and continue building your experience with tools such as SQL,…
Added 46 mins ago
CT
Vice-President, Pricing & Promotions
Canadian Tire Corporation
Toronto, ON
- Full-time
…promotional strategy and programs, price-value transformation, and enterprise print, distribution and gift cards. A key priority is leading CTC’s True North Price/Value program, a…
Added 46 mins ago
ES
Implementation Manager - ECP, Grants
Euna Solutions
ON · Oakville, Ontario
- Full-time
Enterprise Customer Programs (ECP) is Euna Solutions' delivery organization for enterprise-scale clients i.e. primarily state governments and state agencies managing large, complex grant…
Added 46 mins ago
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Graphics Specialist – Building Automation / EBO (GSBA004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our Client is an established technology and systems integration organization supporting commercial, institutional, industrial, mission-critical, and enterprise environments.
Added 1 hour ago
M
RQ11528 - Software Developer - API - Senior
Maarut
Toronto, ON
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with integration between APIs and enterprise systems (e.g., databases,
Added 1 hour ago
M
RQ11527 - Middleware Specialist - Senior
Maarut
Toronto, ON
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7 years of experience in middleware/integration technologies in complex
Added 1 hour ago
G
Gestionnaire de Formation / Training Manager
Genetec
Remote, Canada
- Full-time
- Remote
Participer au recrutement, à la sélection, à l’intégration et au perfectionnement des formateurs techniques et des chefs d’équipe
Added 1 hour ago
PC
Atlassian Architect - Canada FTE
Praecipio Consulting
Remote, Canada
- Full-time
- Remote
Tooling & Integration: Design and implement sophisticated integrations between Atlassian products and third-party tools (e.g., CI/CD pipelines, CRM, ITSM platforms, reporting solutions).…
Added 1 hour ago
OC
MANAGER OF ENTERPRISE STRATEGY AND DATA MGT
Ontario College of Teachers
Toronto, ON
- $145,252 to $158,721 CAD / year
- Full-time
Manager, Enterprise Strategy and Data Management
Added 1 hour ago
Senior Oracle HCM Consultant - TERM
The City of Red Deer
Red Deer, AB
…Consultant provides technical expertise in the configuration, integration, maintenance and optimization of The City’s Oracle Cloud HCM system, ensuring solutions align with business…

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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