AI Functional Senior Consultant

Crowe•Washington, DC

1d•Remote

About The Position

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: 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. About Crowe AI 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.

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.
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.

Nice To Haves

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).
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.).
Communicate technical concepts clearly to non-technical or unfamiliar audiences, both written and verbal; you support the creation of client-facing deliverables and documentation.
Ability to maintain technical documentation for developed solutions, including user guides, technical specifications, and process documentation.
Familiarity with Agile methodologies and tools.
Familiarity with the software development lifecycle and AI Ops best practices.
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.
Actively looks for opportunities to try and learn new things.
Hungry to try new tools and techniques or try new areas of the business to test yourself.
You want to stay fresh in AI.
You aren't afraid to take a stab at Large Language Model papers before they become blog posts (even if you don't have experience in it quite yet) or try out the latest tools.
You’re probably subscribed to several newsletters or podcasts about AI topics.
You enjoy sharing what you learn, whether by offering cross-training opportunities, giving internal team “lightning talks,” or by writing detailed comments on tickets when you close them.

Responsibilities

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)
Facilitation of 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 that clients understand the potential of GenAI and can articulate their needs effectively.
Assist the team and work closely with clients to identify and prioritize AI use cases, guiding them in aligning these with their business objectives and ensuring feasibility from both a functional and technical perspective.
Demonstrate the viability of potential solutions and seek to disprove assumptions through data exploration, experimentation, and lightweight Proof of Concept buildout.
Your key contributions are to user stories, testing requirements, and supporting documentation, in addition to the thorough analysis and validation of requirements to minimize ambiguity and support effective collaboration across development teams.
Engage with your team to derive realistic effort estimates, embracing the iterative nature of early-stage AI development.
Assist in serving as the liaison between the functional team and the technical development team, ensuring that client requirements are accurately translated into technical specifications and that the solutions delivered meet client expectations.
Assist in the functional aspects of AI projects, including timelines, resource allocation, and deliverables, ensuring that projects are completed on time and within budget.
Assist in communicating with internal and external stakeholders, providing updates on project status, risks, and opportunities.
Assist in continuously assessing and improving the methodologies and tools used by the functional team to enhance client engagement and project outcomes.
Success in this role looks like detailed, well-maintained requirements aligned to a solution’s vision and strategic goals; it looks like productive collaboration with both business and technical stakeholders.
Assist in developing and delivering training programs for both clients and internal teams on the capabilities and use cases of GenAI, ensuring a high level of competency and understanding.
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.