Solution Architect, AI

Salary Range: 122360 to 160598 (Currency: CAD) (Pay period: per-year-salary)

Are you a strategic AI expert with a passion for helping organizations drive business transformation through AI, automation, and innovative technology solutions? Do you thrive in a client-focused environment where you can turn business challenges into practical solutions and measurable outcomes?

We are looking for an innovative and technology-driven Solution Architect, AI for our Data & Dynamics team located in our Calgary, Edmonton, Vancouver or Toronto branch. In this role, you will work closely with account teams, customer stakeholders, strategic partners, AI practice leadership and delivery teams to identify opportunities and, lead discovery and strategic advisory discussions, develop business cases and solution strategies, estimates effort, and contribute to proposals and Statements of Work. This role focuses on pre-sales, solution pursuit, and architectural guidance to ensure proposed solutions are clearly defined and positioned for successful delivery. 

A Day in the Life:

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

Lead AI strategy, prioritization, roadmap, governance, operating model, and value-realization discussions with business and technology leaders, serving as a trusted advisor who communicates complex technical concepts clearly to executive, business, and technical audiences

Design AI, automation, agent-based, knowledge management, and digital transformation solution approaches aligned to customer objectives, developing architecture concepts, transformation roadmaps, implementation strategies, governance approaches, and operating models

Evaluate solution options across Microsoft and adjacent enterprise AI platforms, recommending native capabilities, partner solutions, packaged services, or custom approaches based on fit

Identify key assumptions, dependencies, risks, customer responsibilities, and success factors, collaborating with delivery teams to validate solution feasibility

Support qualification and progression of AI opportunities in partnership with account teams, branches, Microsoft, and strategic partners; lead technical workshops, solution presentations, demonstrations, and proposal reviews for customer pursuits

Develop engagement overviews, solution narratives, customer participation models, work plans, timelines, risks, assumptions, and next steps to support successful opportunity progression

Define scope, deliverables, milestones, acceptance criteria, exclusions, assumptions, dependencies, resourcing, and engagement models; estimate effort and support pricing, contingency, and commercial alignment with sales, delivery, and practice stakeholders

Support pipeline growth, account expansion, solution pricing, commercial positioning, and a clear transition from pursuit to delivery

Apply reusable templates, methods, and AI-assisted tools to improve pre-sales speed and consistency while maintaining professional review, quality, and client confidentiality

Develop and maintain service offerings, methodologies, playbooks, accelerators, templates, and reusable intellectual property; contribute to branch and seller enablement, thought leadership, mentoring, and go-to-market initiatives

Monitor developments in enterprise AI, agentic systems, governance, platform ecosystems, and market opportunities; share lessons learned and help standardize how AI opportunities are discovered, scoped, positioned, and transitioned into delivery

What You Bring:

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

What Makes You Extra Awesome:

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

Why Work at Long View?

Great people and culture 

Fun is one of our cores values

Interesting work – Be part of exciting projects while accessing all the latest technologies

Flexible environment – A workplace that values the importance of flexibility for personal/professional growth, happiness, and wellness