Solution Architect, AI

Long View Systems

. Facilitate discovery workshops and customer discussions to identify AI opportunities, priorities, pain points, readiness, outcomes, use cases, success criteria, value, and decision criteria .

Posted 10/15/2026full-timeCalgary • CanadaSeniorLead💰 CA$122,360 - CA$160,598 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Facilitate discovery workshops and customer discussions to identify AI opportunities, priorities, pain points, readiness, outcomes, use cases, success criteria, value, and decision criteria
Lead AI strategy, prioritization, roadmap, governance, operating model, and value-realization discussions with business and technology leaders
Design AI, automation, agent-based, knowledge management, and digital transformation solution approaches
Evaluate solution options across Microsoft and adjacent enterprise AI platforms
Identify assumptions, dependencies, risks, customer responsibilities, and success factors
Support qualification and progression of AI opportunities with account teams, Microsoft, and strategic partners
Lead technical workshops, solution presentations, demonstrations, and proposal reviews
Develop engagement overviews, solution narratives, participation models, work plans, timelines, risks, assumptions, and next steps
Define scope, deliverables, milestones, acceptance criteria, exclusions, dependencies, resourcing, and engagement models
Estimate effort and support pricing, contingency, and commercial alignment
Support pipeline growth, account expansion, solution pricing, commercial positioning, and transition from pursuit to delivery
Apply reusable templates, methods, and AI-assisted tools to improve pre-sales speed and consistency
Develop service offerings, methodologies, playbooks, accelerators, templates, and reusable intellectual property
Contribute to enablement, thought leadership, mentoring, and go-to-market initiatives
Monitor enterprise AI, agentic systems, governance, platform ecosystems, and market opportunities

Requirements

What you’ll need

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 the broader enterprise AI ecosystem, including OpenAI, Anthropic, Google, AWS, and emerging AI platforms
Experience with agent platforms, orchestration approaches, knowledge-grounded solutions, evaluation, lifecycle management, or production-readiness considerations
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

Benefits

Comp & perks

Expected Salary Range plus 15% variable earnings
Interesting work and access to the latest technologies
Flexible environment supporting personal/professional growth, happiness, and wellness
Inclusive and equitable workplace
Employee resource groups
Company-wide training, including unconscious bias reduction
Townhalls and impactful conversations
Interview or role accommodations upon request