What You'll Do Define and maintain reference architectures for AI/ML workloads (training, inference, RAG, agentic, fine-tuning, etc.)
Establish technology standards: approved frameworks, model providers, data platforms, integration patterns
Review architectural designs for high-risk or novel AI initiatives directly; delegates routine design reviews to engineering leads by creating published standards and checklists
Create reusable patterns, blueprints, and starter kits that engineering teams can apply independently
Train and enables project architects and tech leads to apply reference architectures without needing central involvement for every initiative
Lead the team's architecture research and technology evaluation: conducts horizon scanning of emerging AI/ML techniques, architectures, and platforms; runs time-boxed validation prototypes to assess fit for the enterprise; publishes internal research briefs with findings and recommendations
Convert research findings into actionable standards: updates reference architectures, approved technology lists, and design patterns based on validated research; presents recommendations to Head of AI Governance and Architecture and peer leads for cross‑cutting review before adoption
Make build‑vs‑buy recommendations grounded in research evidence
Partner with enterprise architecture, cloud platform, and data teams to ensure AI architecture aligns with the broader technology landscape




Partner with the Cybersecurity team so that reference architectures and design reviews incorporate the AI Security controls, secure‑design requirements, and red‑teaming findings of that team
What We're Looking For 10+ years in software development, 5+ years in AI/ML
Focus Reference architectures, technology standards, design patterns, and platform strategy for AI/ML workloads
What's In It For You Competitive compensation package, including base salary and incentive opportunities where applicable.
Comprehensive health and wellness advantages for employees and eligible dependents.
Retirement savings programs, including company matching contributions where available.
Equal Opportunity Employer Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.
Canada Applicants must be legally authorized to work in Canada at the time of hire. The company is unable to provide immigration or work permit support for this position.
The anticipated annual base salary range for this position is $114,000 - $154,000. Actual compensation within this range will be determined based on a variety of factors, including geographic location, relevant experience, skills, qualifications, and internal equity considerations.

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📌 AI Solutions Architect (Ontario)
🏢 Mobility Global
📍 Ontario