AI Project Coordinator
Crowe
- Location
- Chicago IL USA
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 10 approvals (FY2023)
- Posted
- Aug 14, 2026
Skills
About this role
Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description
Core Responsibilities: Support project management tasks including scheduling meetings, tracking milestones, managing project artifacts using Azure DevOps, and communicating updates clearly across teams Maintain meticulous documentation of processes, resources, project statuses, and relevant communications Facilitate stakeholder meetings and document business needs, user stories, and technical specifications Support cross-functional communication and collaboration, helping to identify and mitigate risks to maintain smooth project progression Collaborate closely with DevOps and engineering teams to support deployment activities and ensure infrastructure aligns with project timelines and deliverables Create technical diagrams and translate business requirements into implementable solutions; prepare demonstrations and training materials for client presentations Provide hands-on technical support where needed by building prototypes, configuring AI agents, and leveraging generative AI tools for rapid prototyping and solution validation Stay current with emerging AI technologies and proactively share knowledge with team members Key Skills to Apply: Project Coordination: Strong organizational skills to manage project artifacts, timelines, and deliverables using Azure DevOps; coordinate across technical and business stakeholders with precision Technical Support: Ability to step in with hands-on technical work including low-code platform configuration, AI agent setup, and rapid prototyping using AI tools Stakeholder Facilitation: Developing communication skills to facilitate meetings, document requirements, and translate between technical and non-technical audiences Requirements Translation: Ability to translate business requirements into technical diagrams, workflow designs, and implementable specifications AI Solution Fluency: Working knowledge of generative AI tools (ChatGPT, Claude, Copilot) and ability to apply them to problem-solving and rapid validation Data Preparation: Proficiency with data manipulation, cleaning, and structuring to support AI testing and solution development Performance Expectations: Delivery Reliability: Successfully complete 90%+ of assigned tasks and deliverables within agreed timelines with minimal revision required Documentation Quality: Maintain comprehensive, accurate project documentation with 95%+ stakeholder satisfaction on clarity and completeness Meeting Management: Schedule and coordinate project meetings with 95%+ on-time execution and complete action item tracking Technical Contribution: Successfully deliver technical support tasks (prototypes, demos, data prep) meeting quality standards with increasing independence Professional Growth: Learn new tools and platforms quickly; share at least one key learning or insight monthly with the team Collaboration: Work effectively across engineering, consulting, and client teams; receive positive feedback on teamwork and communication Experience Context: Baseline: 0-2 years in project coordination, business analysis, or technical support roles Background: Recent graduate with technical degree and demonstrated aptitude for AI/ML applications, low-code development, or data analysis