Bilingual Microsoft 365 Copilot Solutions Architect
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Job Description
Cloud Solution Architect driving Microsoft 365 Copilot, generative AI, and agent adoption for enterprise customers at Blueprint Technologies. Advising on secure deployment, governance, technical readiness, and measurable business outcomes.
Responsibilities:
- Serve as a customer-facing Cloud Solution Architect specializing in generative AI, workplace productivity, and agentic solutions.
- Help enterprise customers identify high-value AI use cases, deploy secure and governed solutions, and progress toward advanced usage and measurable business value.
- Drive adoption and sustained usage of enterprise AI assistants, collaboration tools, and AI agents through customer-success and change-management plans.
- Advise customers and partners on designing, deploying, customizing, and operationalizing AI-powered workplace solutions.
- Identify, prioritize, and implement AI and agentic use cases aligned with business objectives.
- Lead technical engagements addressing identity, security, compliance, governance, data access, licensing, and platform readiness barriers.
- Establish secure and responsible AI foundations, including data protection, oversharing controls, information governance, and compliance practices.
- Guide AI-agent development and governance using a register, govern, and protect framework.
- Develop adoption and change-management plans covering 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 business and technical decision-makers, including executives, to align AI adoption with measurable organizational outcomes.
- Coordinate partner-led implementations and internal delivery resources to accelerate deployment, activation, and scaled adoption.
- 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 product and delivery improvements.
- Lead and motivate technical communities while supporting collaboration across customers, partners, and internal stakeholders.
Requirements:
- Fluency in both English and Spanish, including professional written and verbal communication.
- Bachelor’s degree in computer science, information technology, engineering, business, liberal arts, or a related discipline, plus 7–9 years of relevant experience; equivalent practical experience may be considered.
- At least 5 years of experience in an enterprise customer-facing position.
- 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 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.
- Prior customer-facing experience is mandatory; candidates without this experience will not be considered.
- Minimum of two relevant technical certifications covering enterprise administration, information security, AI administration, agentic solution architecture, or AI business applications.
- Candidates must hold a minimum of two of: MS-102, SC-401, AB-900, AB-100, or AB-730.
- Both the bilingual language requirement and the minimum certification requirement are mandatory.
- Preferred qualifications include direct enterprise AI assistant and agentic-solution deployment, comparable generative AI platforms, sustained AI adoption, customer education, executive engagement, adoption analytics, change-management strategies, implementation-partner coordination, technical-community leadership, and emerging-AI learning.
Benefits:
- Medical, dental, and vision coverage
- Flexible Spending Account (FSA)
- 401(k) retirement plan
- Competitive paid time off
- Parental leave
- Professional growth and development opportunities
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