M365 Copilot Advanced Solutions Architect

Location: Blue Ash, OH, United States

The M365 Copilot Advanced Solutions Architect serves as a strategic advisor and technical authority, leading the design, deployment, and integration of Microsoft 365 Copilot and AI driven solutions across the enterprise. As a member of the AI Associate Productivity Tooling Team, this role partners with the AI Enablement Team to drive AI adoption and change enablement by translating business objectives into secure, scalable, and compliant solutions that deliver measurable business value and ROI.

The role is responsible for leading the design, deployment, and ongoing management of Microsoft 365 Copilot capabilities, including Copilot Chat, Copilot Agents, and Copilot Studio, ensuring solutions are secure, scalable, and aligned to enterprise standards. This position partners closely with business and technical stakeholders to drive Copilot adoption, enabling sustained usage, measurable business value, and successful outcomes. Responsibilities include owning tenant-level Copilot configuration such as licensing, security controls, data boundaries, and enterprise integrations, as well as designing and integrating APIs and enterprise systems into AI-enabled workflows. The role leads Copilot adoption programs through readiness assessments and phased rollouts, serves as the primary technical liaison across IT teams and partners, facilitates workshops and architecture reviews focused on responsible AI and governance, strengthens compliance using Microsoft Purview capabilities. 

Role will act as an escalation point for performance and reliability issues, and mentors team members to continuously improve standards, processes, and operational maturity.
While the primary focus remains on M365 Copilot and Power Platform, the expectation is to demonstrate strong expertise in Generative AI, AI Integration, Prompt engineering, Ethical AI, Natural Language Processing (NLP), Machine Learning (ML), Model fine-tuning, AI Observability & monitoring, Large Language models (LLM), Conversational AI and Responsible & Enterprise AI.
 

Partner with development, product management, architecture, information security and infrastructure teams to deliver software and technology products that meet requirements and produce desired business outcomes. Adhere to established architectural principles and associated processes for adopting new technology or integrating with a new third-party solution. Advise product management on technology specific aspects of product roadmap development and recommend adoption of emerging technology appropriate to stated goals. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.

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