GenAI Solutions Intern

Crowe

Springfield (IL)

On-site

USD 77,366,000 - 120,347,000

Full time

14 hours ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Crowe is seeking an AI Functional team member in its Consulting Practice to drive Generative AI adoption for clients, enhancing operational performance and data-driven decisions. You’ll analyze processes, define requirements, and shape AI-driven solutions while collaborating with cross‑functional teams.

Success requires MS AI know‑how, Azure tools, Agile practices, and strong client communication. Travel may be required to meet client/project needs.

Qualifications

Familiarity with AI/ML concepts across industries.
Understanding of Microsoft technologies, especially AI and Power Platform.
Proven ability to document clear, testable requirements.
Strong client relationship management and communication skills.
Analytical mindset focused on aligning AI solutions with measurable business outcomes.
Familiarity with Agile methodologies, AI Ops, and SDLC practices.
Experience with Azure AI, Cognitive Services, and tools such as Enterprise ChatGPT, Microsoft Copilot, and Azure AI Studio.
Competence in prompt engineering and DevOps within the Microsoft ecosystem.
Skilled in producing client-facing documentation and technical deliverables.
Proficiency with a range of analysis techniques (e.g., user stories, data/process models, prototypes).
Comfortable in a professional services environment, eager to explore new tools and techniques.
Actively engaged in AI learning and cross-training.

Responsibilities

Facilitating stakeholder meetings, workshops, and training sessions to define project objectives and uncover AI use cases.
Collaborating with clients to assess the feasibility of AI initiatives, guiding prioritization and alignment with strategic outcomes.
Contributing to user stories, requirements analysis, testing plans, and documentation to support efficient collaboration between functional and technical teams.
Supporting proof‑of‑concept efforts, data exploration, and solution viability testing to validate assumptions and refine approaches.
Assisting in project planning, including effort estimation, resource coordination, and timeline tracking, while communicating updates and risks to stakeholders.
Acting as a liaison to ensure clear translation of business requirements into actionable technical specifications.
Enhancing internal methodologies and tools for AI delivery and client engagement.
Delivering internal and client training on GenAI capabilities and use cases.
Continuously expanding knowledge of the AI landscape, with a focus on Microsoft technologies.