AI-Enabled Tech Advisory Consultant

Crowe

Dallas (TX)

On-site

USD 88,500 - 137,600

Full time

14 days+

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Job summary

Crowe’s Technology Advisory practice seeks an AI-enabled technology advisor to improve consulting delivery through the practical application of generative AI tools and automation. This role focuses on designing and implementing repeatable AI-driven workflows that enhance research, analysis, document creation, presentations, and knowledge management.

The ideal candidate is a hands-on AI user who combines strong analytical skills with experience leveraging tools such as ChatGPT, Claude, Microsoft

Qualifications

Bachelor's degree in Information Technology, Computer Science, Business Administration, or related field required.
2-5+ years of experience in technology consulting, IT advisory, business technology, digital transformation, or a related field.
Experience using generative AI tools in a professional environment.
Demonstrated experience developing prompts, AI assistants, workflows, or automations.
Strong analytical, problem-solving, and critical thinking skills.

Responsibilities

Design and implement reusable AI-enabled workflows for research, document analysis, writing, presentations, and consulting deliverables.
Develop prompts, custom AI assistants, Claude Skills, templates, and workflow documentation.
Standardize successful approaches for use across consulting teams.
Analyze client documents, interview notes, spreadsheets, and other source materials.
Synthesize findings into executive-level recommendations and client-ready deliverables.
Validate AI-generated outputs for accuracy, completeness, and quality.
Evaluate and refine AI prompts, models, and workflows through structured testing.
Maintain libraries of prompts, templates, workflows, and best practices.
Support knowledge management across Notion, SharePoint, Teams, and Microsoft 365.
Explore automation opportunities using Microsoft Power Platform, Copilot Studio, APIs, and low‑code tools.
Partner with consulting teams to identify manual processes and implement AI-enabled improvements.
Measure workflow effectiveness through adoption, efficiency, and quality improvements.