Solution Architect, AI
Long View Systems6 days ago
Toronto, Canada +3 moreSenior
Responsibilities
- Facilitate customer discovery workshops to identify AI opportunities, business priorities, use cases, success criteria, and expected value.
- Lead AI strategy, prioritization, roadmap, governance, operating model, and value-realization discussions with executive, business, and technical audiences.
- Design AI, automation, agent-based, knowledge management, and digital transformation solution approaches, architecture concepts, roadmaps, implementation strategies, and governance models.
- Evaluate Microsoft and adjacent enterprise AI platform options and recommend native, partner, packaged, or custom solutions.
- Validate solution feasibility by identifying assumptions, dependencies, risks, customer responsibilities, and success factors with delivery teams.
- Support AI opportunity qualification and progression through technical workshops, presentations, demonstrations, proposal reviews, and account-team collaboration.
- Develop engagement overviews, solution narratives, work plans, timelines, risks, assumptions, participation models, and next steps.
- Define scope, deliverables, milestones, acceptance criteria, exclusions, dependencies, resourcing, and engagement models; estimate effort and support pricing and commercial alignment.
- Support pipeline growth, account expansion, solution pricing, commercial positioning, and sales-to-delivery transition.
- Develop service offerings, methodologies, playbooks, accelerators, templates, reusable intellectual property, and AI-assisted pre-sales tools.
- Contribute to seller enablement, mentoring, thought leadership, go-to-market initiatives, and standardization of AI opportunity processes.
Requirements
- 8+ years of experience in consulting, solution architecture, AI, automation, digital workplace, cloud, data, or digital transformation.
- Demonstrated experience leading customer-facing pre-sales engagements, discovery workshops, and strategic advisory discussions.
- Experience translating business requirements into solution strategies, architecture concepts, roadmaps, estimates, proposals, and Statements of Work.
- Strong understanding of opportunity qualification, the sales lifecycle, commercial positioning, and sales-to-delivery transition.
- Ability to connect business outcomes with multi-technology solutions and collaborate across sales, architecture, engineering, security, data, adoption, and delivery teams.
- Strong communication, presentation, facilitation, consulting, and relationship-building skills.
- Experience in a consulting, professional services, managed services, or client-facing technology organization.
- Familiarity with enterprise AI platforms and ecosystems including OpenAI, Anthropic, Google, AWS, Microsoft, and emerging AI platforms.
- Experience with agent platforms, orchestration, knowledge-grounded solutions, evaluation, lifecycle management, or production readiness.
- Knowledge of AI governance, enterprise agent governance, AI Centers of Excellence, and multi-platform AI operating models.
- Relevant Microsoft AI, Copilot, Azure, Power Platform, Data, Security, or architect-level certifications is considered an advantage.
Benefits
- Collaborative, inclusive, and supportive workplace culture.
- Interesting projects with access to current technologies.
- Flexible work environment supporting personal and professional growth, happiness, and wellness.
- Employee resource groups, town halls, company-wide training, and diversity and inclusion initiatives.
About Long View Systems
Long View Systems provides IT consulting, managed services, and hybrid cloud/infrastructure solutions for mid-market and enterprise clients across North America. Its offerings include cloud migration and operations, cybersecurity, data center and networking, end-user support, and procurement/licensing, delivered through services and resale. Founded in 1999 and headquartered in Calgary, the privately held company operates across Canada and the United States.