GenAI Engineer, Associate

Huron Consulting Services•Chicago, IL

13h•Remote

About The Position

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. The Associate, GenAI Engineer is an emerging technical contributor who leads component development, designs new AI Store solutions, and manages small-scale implementation projects. This role builds on foundational experience, offering opportunities to take ownership of technical deliverables and collaborate with cross-functional teams.

Requirements

Bachelor’s degree in Technology, Business, Communications, or related field.
2–4 years of experience in technology support, AI implementation, or related roles.
Proficiency with Generative AI tools, APIs, and automation concepts.
Strong documentation and organizational skills.
Experience with Microsoft Office 365 and documentation/version control tools.
Ability to work independently and manage multiple priorities.

Nice To Haves

Familiarity with Microsoft Copilot or similar AI platforms.
Exposure to agile methodologies and product management concepts.
Interest in technical implementation and user experience.

Responsibilities

Design and develop agent components and templates for the Collaboratory.
Lead small-scale implementation projects, coordinating with stakeholders and team members.
Create and maintain standardized documentation and “recipe cards” for AI solutions.
Conduct quality assurance testing and debugging of agent components.
Analyze usage metrics and user feedback to improve solution offerings.
Facilitate user training sessions and support enablement events.
Maintain version control documentation and update logs for Collaboratory items.
Assist in packaging common support requests into reusable agent components.
Support junior analysts and contribute to team knowledge sharing.