AI Solutions Architect

Job summary

Define and maintain AI/ML reference architectures, technology standards, reusable design patterns, and starter kits, while reviewing high-risk initiatives and enabling engineering teams to apply standards independently. Research and validate emerging technologies, turn findings into actionable recommendations, advise on build-versus-buy decisions, and coordinate architecture with enterprise, cloud, data, and cybersecurity teams.

Job details

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.

What you’ll do

Define and maintain AI/ML reference architectures, technology standards, reusable design patterns, and starter kits, while reviewing high-risk initiatives and enabling engineering teams to apply standards independently. Research and validate emerging technologies, turn findings into actionable recommendations, advise on build-versus-buy decisions, and coordinate architecture with enterprise, cloud, data, and cybersecurity teams.

Requirements

Requires 10 or more years of software development experience, including at least 5 years in AI/ML. The focus is on reference architectures, technology standards, design patterns, and platform strategy for AI/ML workloads.

Benefits

• Health And Wellness Benefits
• Retirement Savings Program
• Company Matching Contributions
• Incentive Opportunities

Listed skills

• Software · Preferred
• Évaluation · Preferred
• Validation · Preferred
• Recruitment · Preferred
• Training · Preferred
• Health · Preferred
• Teams · Preferred
• Process · Preferred
• Communication · Preferred
• Development · Preferred
• Time · Preferred
• Integration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI/ML Architecture
• Reference Architectures
• Technology Standards
• Design Patterns
• Platform Strategy
• AI/ML Workloads
• Technology Evaluation
• Horizon Scanning
• Prototype Validation
• Build-Vs-Buy Analysis
• Enterprise Architecture
• Cloud Platforms
• Data Platforms
• Cybersecurity
• AI Security
• Red Teaming

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Management & Leadership

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