AI Workplace Platform Consultant (Claude, Copilot,...

Deloitte T.T.L.
Dallas, TX, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$131,200.0 - $240,500.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence System Configuration Identity and Access Management Ping (Networking Utility) Role-Based Access Control Release Management Azure Active Directory Runbook Single Sign-On Systems Integration
+9 more
Data Logging Okta Microsoft Power Automate Office365 HybridCloud AI Platforms Deployment Automation Data Management Gsuite

Job description

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients’ success. You’ll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation and enhanced productivity.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client’s unique requirements.

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. We are looking for delivery-focused consultants who have done this work firsthand and can drive technical engagements from platform setup through managed operations.

Recruiting for this role ends on 09/01/2026.

Work you’ll do

As a consultant on the AI & Engineering team, you will be responsible for:

  • Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 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, The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,200 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: (1) (1) https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

  • Ability to work independently and collaborate as part of a team

  • Effective communication and stakeholder management skills

  • Ability to lead technical workstreams in fast-paced environments

  • Experience managing multiple priorities and deadlines

  • Ability to translate business needs into technical solutions, + 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%, on average, based on the work you do and the clients and industries/sectors you serve.

  • 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

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