AI Architect

Derextechnologiesinc; Canada; On-site; CAD 150,000 - 190,000; Full time

Job summary

Derextechnologiesinc seeks an AI Architect to lead design and delivery of next-gen intelligent solutions across the enterprise. You will architect scalable, secure AI-driven platforms and guide the full AI lifecycle from concept to production.

The role requires hands-on expertise in AI/ML frameworks, Generative AI, and cloud-based MLOps, with collaboration across data science, platform engineering, and business teams to accelerate innovation.

Qualifications

• Experience with AI/ML frameworks and libraries.
• Hands-on expertise in Generative AI architectures and transformers.
• Experience mentoring AI/ML engineers across projects.

Responsibilities

• Architect and guide enterprise-grade AI and ML solutions.
• Collaborate with data scientists and platform engineers to integrate AI.
• Provide hands-on leadership in Python and ML frameworks.
• Oversee data prep, feature engineering, and model development.
• Drive technical design reviews and architecture assessments.

Skills

Programming languages

Python

C#

Java

JavaScript

TensorFlow

PyTorch

Keras

Generative AI architectures

AI Coding Assistants

Agentic AI platforms

Cloud & MLOps

AWS SageMaker

Azure ML

GCP

Mentoring engineers

Code reviews

Communication

Tools

GitHub Copilot

Visual Studio Code

LangChain

HuggingFace

Azure AI Studio

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 performa