AI Workplace Platform Consultant (Claude, Copilot, Gemini)

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

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 08/10/2026.

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

A successful candidate would possess these skills:


* 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

The Team

AI & Engineering helps organizations transform technology platforms, modernize critical operations, and drive innovation at scale.

Professionals across the practice work with clients to improve performance, launch new digital capabilities, and increa...