Solution Architect, AI

Role overview

Role responsibilities

• Lead customer discovery and identify AI opportunities, business priorities, readiness, use cases, objectives, and success criteria.
• Advise business and technology leaders on AI strategy, prioritization, roadmaps, governance, operating models, and value realization.
• Design AI, automation, agent, knowledge-management, and digital-transformation solution approaches and implementation strategies.
• Compare Microsoft and other enterprise AI platform options and recommend a suitable solution approach.
• Validate assumptions, dependencies, risks, customer responsibilities, and feasibility with delivery teams.
• Support opportunity qualification and lead technical workshops, presentations, demonstrations, and proposal reviews.
• Prepare engagement overviews, solution narratives, work plans, timelines, and next steps.
• Define scopes, deliverables, milestones, acceptance criteria, resourcing, and engagement models; estimate effort and support pricing.
• Support pipeline growth, account expansion, commercial positioning, and pursuit-to-delivery transition.
• Improve pre-sales consistency with reusable templates, methods, and AI-assisted tools while protecting quality and confidentiality.
• Build service offerings, methodologies, playbooks, accelerators, and reusable intellectual property; contribute to enablement and go-to-market work.
• Monitor enterprise AI and market developments and share lessons to improve discovery, scoping, positioning, and delivery transition.

What you bring

• 8+ years of experience in consulting, solution architecture, AI, automation, digital workplace, cloud, data, or digital transformation.
• Experience leading customer-facing pre-sales engagements, discovery workshops, and strategic advisory discussions.
• Ability to turn business needs into solution strategies, architecture concepts, roadmaps, estimates, proposals, and Statements of Work.
• Understanding of opportunity qualification, the sales lifecycle, commercial positioning, and sales-to-delivery transition.
• Ability to connect business outcomes with multi-technology solutions and work across sales and technical delivery teams.
• Strong communication, presentation, facilitation, consulting, and relationship-building skills.
• Experience in consulting, professional services, managed services, or a client-facing technology organization.

Additional assets

• Enterprise AI platform familiarity, including OpenAI, Anthropic, Google, AWS, or emerging platforms, is an asset.
• Agent platforms, orchestration, knowledge-grounded solutions, evaluation, lifecycle management, or production-readiness experience is an asset.
• AI governance, enterprise agent governance, AI Centers of Excellence, and multi-platform AI operating-model knowledge is an asset.
• Relevant Microsoft AI, Copilot, Azure, Power Platform, Data, Security, or architect-level certifications are an asset.

Compensation

• Expected salary range is CAD 122,360–160,598 per year, plus 15% variable earnings.

Work environment

• The employer describes a flexible workplace and highlights collaborative culture, interesting projects, and access to current technologies.