AI Architect at Solink
Ottawa, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

500.0

Posted On

31 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

AI ARCHITECT

Location: Ottawa, ON | Hybrid
Department: R&D
Reports To:Director of Engineering, Sean O’Hagan
Type: Full-Time Permanent

SECURITY REQUIREMENTS

  • Candidates must undergo a criminal records check upon hire;
  • Be a Canadian Citizen (dual citizens included), or eligible to work in Canada;
  • Be willing to comply with Solink’s own security policies and standards.

How To Apply:

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Responsibilities

THE ROLE

As an AI Architect, you’ll play a hands-on role in solving meaningful problems, driving outcomes, and contributing directly to Solink’s growth. You’ll collaborate across teams and be trusted to take ownership – because we believe great ideas come from everywhere.
This is an opportunity for someone who’s energized by challenge, fast learning, and making a real impact.

WHAT YOU’LL DO

  • Drive the overall AI vision of the products and services delivered by Solink.
  • Oversee the design, security, scalability and effectiveness of the AI solutions that are developed by individual feature teams.
  • Adopt processes and tools that streamline the reliability, extensibility and enforce best practices of AI solutions whether they are in the cloud or at the edge.
  • Stay on top of the latest research and techniques in computer vision, generative AI, agentic workflows, and large language models to continuously improve our technology stack.
  • Ensure AI traceability and compliance with anti-bias and privacy regulations.
  • Collaborate with product, engineering, and data teams to translate business needs into intelligent, data-driven solutions.
  • Help build and maintain infrastructure to support model training, deployment, and continuous improvement at scale.
  • Review and define best practices for MLOps pipelines
  • Mentor and guide data scientists and engineers in best practices of AI architecture, training, experimentation and deployment.
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