AI Workplace Platform Consultant (claude, Copilot, Gemini)

Consultant role focused on configuring, integrating, and deploying enterprise AI platforms like Claude, Copilot, and Gemini for end users at scale. Responsibilities include platform setup, pilot execution, production rollout, and managed operations, as well as implementing identity and access controls. The role emphasizes translating business needs into technical solutions for large-scale enterprise implementations.

What you'd actually do

  1. Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 Copilot, for end users at scale
  2. Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
  3. Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
  4. Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
  5. Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

Skills

Required

  • 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
  • Microsoft 365/Exchange ecosystem experience
  • Experience with enterprise release planning and change management
  • Bachelor's degree or equivalent experience
  • Ability to travel 50%

Nice to have

  • 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

What the JD emphasized

  • Direct experience with enterprise AI platforms
  • 3+ years of experience in project or program management
  • 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations

Other signals

  • enterprise AI adoption
  • foundational large language model platforms
  • end users at scale