AI Functional Senior Consultant

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.

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, generative AI, modern architectures, and industry experts to create AI-powered solutions that transform the way we do business.

Our world-class AI and ML professionals give Crowe the ability to capture and harness the power of data. A combination of Machine Learning Engineers and AI Platform and Infrastructure Engineers create and deploy AI functionality to solve complex problems. We focus on building scalable AI products, based on rigorous data exploration, validation via proof-of-concept buildout, and close partnership with subject matter experts across business areas. The future is powered by AI, come build it with us.

About The Team

We foster good science. You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work.

We want to make good scientists better. MLEs have plenty of options on the job market. We want to be one of the best. We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly “10P” independent time for ongoing learning.

We truly value work-life balance. Our distributed team offers unlimited PTO and a flexible work-from-home policy.

Responsibilities of an AI Functional Senior Consultant

• Conduct in-depth analysis of business processes, workflows, and data to map opportunities for automation by leveraging process mining and task mining tools (e.g., Microsoft Process Mining, Celonis, Minit, Apromore, ServiceNow).
• Facilitate meetings with business stakeholders to refine project objectives and demonstrate preliminary results.
• Participate in client engagements, including workshops, training sessions, and requirements gathering, to ensure clients understand GenAI's potential and articulate their needs effectively.
• Assist the team and work closely with clients to identify and prioritize AI use cases, aligning them with business objectives and ensuring feasibility.
• Demonstrate the viability of potential solutions and seek to disprove assumptions through data exploration, experimentation, and lightweight Proof of Concept buildout.
• Contribute to user stories, testing requirements, and supporting documentation, including thorough analysis and validation of requirements to minimize ambiguity.
• Engage with your team to derive realistic effort estimates, embracing the iterative nature of early-stage AI development.
• Serve as the liaison between the functional team and the technical development team, translating client requirements into technical specifications.
• Manage the functional aspects of AI projects, including timelines, resource allocation, and deliverables.
• Communicate with internal and external stakeholders, providing updates on project status, risks, and opportunities.
• Continuously assess and improve methodologies and tools used by the functional team.
• Develop and deliver training programs for clients and internal teams on GenAI capabilities and use cases.
• Actively engage in professional learning within the constantly evolving AI landscape, with an emphasis on the Microsoft ecosystem.

Lead Requirements Elicitation

• Facilitates client sessions (workshops, training, and detailed interviews) to refine AI project objectives and clarify solution scope.
• Captures business objectives in well-defined requirements artifacts (user stories, process diagrams, data models).

AI Use Case Alignment & Proof-of-Concept (POC)

• Works with clients to assess feasibility and prioritize AI use cases (e.g., generative text solutions, predictive modeling).
• Designs lightweight proofs of concept to validate solution approach and disprove assumptions, leveraging data exploration and rapid prototyping.

Oversee Requirements Traceability & Quality

• Ensures thorough analysis of user stories, acceptance criteria, and solution design documents.
• Validates alignment of AI deliverables (models, workflows) with business requirements and project goals.

Collaboration with Development Teams

• Serves as functional liaison for the technical team, translating stakeholder needs into technical specifications for AI model and system configuration.
• Reviews test scenarios, helps triage issues, and confirms delivered features adhere to user requirements.

Manage Early-Stage AI Project Tasks

• Contributes to planning project timelines, resources, and deliverables; assists in deriving realistic effort estimates.
• Alerts project leads to potential scope changes or technical constraints discovered during iterative AI solution development.

Requirements

• 3+ years in a client-facing role, with demonstrable involvement in AI or advanced analytics initiatives.
• Familiarity with Microsoft ecosystem for AI (Azure Cognitive Services, Azure ML, Power BI, Power Platform).
• Experience producing clear, testable requirements (functional and non-functional).
• Understanding of product/software development cycles; basic knowledge of MLOps or AI product development is advantageous.

Preferred Certifications

• Microsoft Certified: Power Platform Functional Consultant Associate (PL-200) or equivalent.
• Intermediate-level AI or data certifications (e.g., DP-100: Designing and Implementing a Data Science Solution on Azure).
• Business analysis credentials (e.g., CCBA – Certification of Competency in Business Analysis).

Required Skills

• Minimum of 3+ years of experience in a client-facing role.
• Understanding of Generative AI and its business applications.
• Familiarity with AI/ML concepts and their application in various industries.
• Experience working with Microsoft technologies, particularly in relation to AI and Power Platform.
• Common understanding of Product Development and Software Development Life Cycles.
• Proven experience creating artifacts and documenting requirements for software projects, ensuring that business, user, functional, and non-functional requirements are clear, concise, testable, and traceable.
• Ability to build and maintain client relationships, ensuring high levels of client satisfaction.
• Excellent verbal and written communication skills, with the ability to convey complex ideas to both technical and non-technical audiences.
• Strong analytical and problem-solving abilities, with a focus on aligning AI solutions with business needs.

Preferred Skills

• Background in business analysis, with a knack for translating business needs into technical requirements.
• Experience with analysis techniques/methods (including scope diagrams, process models, data models, use cases, user stories, acceptance criteria, storyboards, prototypes, state diagrams, CRUD matrix, etc.).
• Ability to communicate technical concepts clearly to non-technical audiences, both written and verbal.
• Ability to maintain technical documentation for developed solutions.
• Familiarity with Agile methodologies and tools, and software development lifecycle.
• Experience with Azure services, particularly Azure AI, Machine Learning, and Cognitive Services.
• Familiarity in prompt engineering and with tools like Enterprise ChatGPT, Microsoft Copilot, and Azure AI Studio.
• Experience with DevOps practices and tools within the Microsoft environment.
• Familiarity in a professional services environment.
• Proactive learner, eager to try new tools, techniques, and areas within AI.
• Enjoys sharing knowledge through cross-training, lightning talks, or detailed documentation.

Key skills/competency

• AI Solutions
• Generative AI
• Microsoft Azure
• Power Platform
• Business Analysis
• Process Mining
• Client Engagement
• Requirements Elicitation
• PoC Development
• Stakeholder Communication