AI Workplace Platform Consultant (Claude, Copilot, Gemini)

About the role

Workplace Engineering is AI & Engineering's front door for enterprise AI adoption. We own the configuration, deployment, and operationalization of foundational large language model platforms - Anthropic Claude/Cowork, Microsoft Copilot, and Google Gemini, for enterprise end users at scale.

Responsibilities

• Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot, for end users at scale
• Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
• Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
• Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
• Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

Requirements

• Direct experience with enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot
• 3+ years of experience in project or program management
• 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations
• Mandatory Microsoft 365/Exchange ecosystem experience
• Experience with enterprise release planning and change management
• Bachelor's degree or equivalent experience
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

Qualifications

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred

• Experience with Anthropic Claude/Cowork, Microsoft 365 Copilot, Google Gemini or OpenAI enterprise platforms
• Experience configuring single sign-on (SSO) with Okta, Ping, Microsoft Entra ID, Azure Active Directory, or Google Workspace
• Experience with System for Cross-domain Identity Management (SCIM) provisioning, user lifecycle management, and role-based access control (RBAC)
• Experience with application programming interface (API) management, webhook integrations, usage monitoring, and spend controls
• Experience with audit logging, access governance, and enterprise security frameworks including SOC 2 or ISO 27001
• Experience creating technical documentation, runbooks, or acceptable use policies for enterprise AI deployments