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 benefits 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.
Recruitment Fraud Alert
Mobility Global will never ask candidates to pay money at any stage of the hiring process, including for applications, interviews, background checks, training, or equipment. If you receive a suspicious communication or request for payment or personal financial information, please exercise caution and report it immediately.
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.
Skills Required
- 10+ years of experience in software development
- 5+ years of experience in AI/ML
- Legally authorized to work in Canada at the time of hire
What We Do
Mobility Global is an independent automotive intelligence company, formerly S&P Global Mobility. It provides data, analytics, connected technologies, forecasts, and expertise to organizations and consumers across the vehicle lifecycle, helping them build, buy, sell, maintain, and understand vehicles. Its offerings support decisions involving demand, risk, supply chains, sales, marketing, ownership, sustainability, and broader automotive market strategy with confidence and clarity.
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