Think Shift seeks an AI Solutions Architect to bridge Think Shift Labs, our AI innovation unit, and our client service teams. Partnering with our Chief AI Officer and Labs leadership, the Architect will learn our technology, clients, people, and processes; map team workflows; and design and deploy AI-driven automation. The role leads adoption, guiding Accounts and project teams through new ways of working until efficiency gains are realized.

ACCOUNTABILITIES 

·  Support the Think Shift Labs team in building, testing, deploying, and supporting AI solutions.

·  Build and prototype AI tools, agents, and automations with the Chief AI Officer and Labs leadership.

·  Work with internal owners to write requirements. Before any build begins, record a baseline of how much time and effort the work takes today.

·  Test tools with real users through pilot, security review, and launch.

·  Write documentation and training materials so the teams that receive each tool can run it without Labs support.

·  Support, troubleshoot, and improve tools once they are in use.

·  Evaluate new AI tools and recommend whether to build or buy.

·  Partner with teams across the company to identify and document repetitive workflows, automate existing workflows, and use AI to do work in completely different ways as the technology allows.

·  Learn our technology, clients, people, and processes, starting with Accounts and project management.

·  Map current workflows from start to finish, find the bottlenecks, and rank automation opportunities by time saved and business impact.

·  Automate existing workflows in our core platforms, including Productive and HubSpot.

·  Redesign workflows from first principles where AI makes a better approach possible.

·  Lead adoption: coach teams, run hands-on working sessions, and support people until the new ways of working stick.

·  Measure the time returned to teams against the recorded baselines, and report results to leadership.

·  Connect Labs and the client teams, bringing workflow problems from the teams into the Labs pipeline as new build ideas.