Microsoft Copilot Pre-Sales Solutions Architect

About this role

About Blueprint

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.

Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.

At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.

Bring your perspective. Raise the standard. Build what matters.

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About the Role

As a Microsoft 365 Copilot Solutions Architect , you’ll serve as a customer-facing technical advisor specializing in generative AI, workplace productivity, and agentic solutions. You’ll help enterprise customers identify valuable AI use cases, deploy secure and governed solutions, and progress from foundational functionality to advanced adoption that delivers measurable business value.

You’ll work across customers, implementation partners, account stakeholders, and technical delivery teams to accelerate deployment, resolve adoption barriers, and support organizational change. This role combines hands-on technical expertise with customer education, executive communication, and adoption strategy.

What You'll Do

• Drive sustained adoption of enterprise AI assistants, collaboration tools, and AI agents through structured customer success and change-management plans.

• Advise customers and partners on designing, deploying, customizing, and operationalizing AI-powered workplace solutions.

• Help customers identify, prioritize, and implement AI and agentic use cases aligned with business objectives.

• Lead technical engagements to resolve barriers related to identity, security, compliance, governance, data access, licensing, and platform readiness.

• Establish secure and responsible AI foundations, including data protection, oversharing controls, information governance, and compliance practices.

• Guide customers through AI agent development and governance using a register, govern, and protect framework.

• Develop adoption and change-management plans addressing executive sponsorship, user segmentation, communications, training, and enablement.

• Educate customers and partners through technical demonstrations, presentations, workshops, and end-user training.

• Use adoption analytics and platform insights to communicate usage trends, business impact, progress, and return on investment.

• Engage technical and business decision-makers, including executive stakeholders, to align AI adoption with measurable organizational outcomes.

• Coordinate partner-led implementations and internal delivery resources to accelerate deployment, activation, and adoption at scale.

• Manage committed adoption and consumption milestones across assigned customer accounts.

• Analyze usage and business-outcome signals to identify expansion, renewal, and additional solution opportunities.

• Capture customer feedback, technical blockers, adoption patterns, and success stories to support ongoing product and delivery improvements.

• Lead and motivate technical communities while strengthening collaboration among customers, partners, and internal stakeholders.

What You'll Bring

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field, plus 7 to 9 years of relevant experience, or equivalent practical experience.

• Relevant experience in areas such as cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, solution architecture, practice development, or technical consulting.

• At least 5 years of experience in an enterprise customer-facing role.

• At least 5 years of experience delivering customer-facing technical projects.

• At least 5 years of experience working with enterprise productivity and cloud platforms.

• Demonstrated ability to manage internal and external stakeholders and communicate effectively with technical, business, and executive audiences.

• Hands-on experience deploying and driving adoption of enterprise AI productivity solutions, including administration, analytics, and organizational change management.

• Deep expertise in identity, security, compliance, and information governance, including conditional access, identity governance, sensitivity labeling, data loss prevention, AI data security posture management, and advanced content management controls.

• Experience building, deploying, and governing AI agents through a low-code agent development platform.

Preferred Qualifications

• Direct experience installing, deploying, and customizing enterprise AI assistants and agentic solutions.

• Experience with comparable generative AI platforms, such as Gemini or similar enterprise AI technologies.

• Proven success helping customers progress from initial AI experimentation to sustained, advanced adoption.

• Experience presenting AI capabilities and delivering customer education, technical enablement, workshops, or end-user training.

• Strong presentation and executive-engagement skills, particularly with senior business and technology leaders.

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