Solution Architect, AI

Long View. A career that helps you get more out of life.
 
A Long View career helps you get more out of life. We don’t just say it, we prove it. Every day. We’re proud of our reputation as one of North America’s most dynamic IT providers — and we’re even prouder of our culture that allows our people to live life to its fullest. At Long View, we create an environment of collaboration and support, of innovation and enthusiasm, of inclusion and belonging. As a member of the Long View team, you’ll see how our company’s core pillars — Integrity, Competence, Value, and Fun — resonate through the workplace. And in a recent survey, 89% of Long View team members rated Long View as a good or great place to work!

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

Want to learn more about our culture and life at Long View? Check us out on LinkedIn and Instagram!

Long View’s mission of building the best and most sustainable team-driven organization requires dedicated and ambitious people. Through employee resource groups, impactful and effective conversations, townhalls and various company-wide training, including how to reduce unconscious bias, we are fostering an inclusive environment. We are committed to taking consistent, positive and lifelong action to be a diverse and equitable workplace because we know that the most effective companies are made up of people with varied identities, experiences and backgrounds.

Long View is an equal opportunity employer. If you have any accommodation requests for your interview or the role, please let your friendly Recruiter know

Expected Salary Range plus 15% variable earnings