Senior AI Solutions Consultant
About the role
The Senior AI Solutions Consultant plays a pivotal role in delivering complete workstreams and specialized AI solution components with deep technical expertise. They participate in C-suite client interactions with growing confidence, provide informal mentoring to junior team members, and support the development of sales opportunities through direct technical expertise and client engagement.
Responsibilities
- Deliver complete workstreams or specialized solution components with deep technical expertise, maintaining high-quality outcomes within timelines
- Facilitate client workshops, stakeholder meetings, and requirement sessions, navigating conflicting perspectives and ambiguous needs
- Lead use case identification, prioritization, and validation activities, including data analysis, experimentation design, and Proof of Concept development
- Participate in C-suite client interactions, demonstrating executive presence and communicating complex AI concepts with business clarity
- Support sales team efforts through opportunity qualification, proposal contributions, and client presentations
- Provide informal mentoring to junior consultants through collaborative work, knowledge sharing, and constructive feedback
- Contribute to practice improvement initiatives through methodology feedback, tool testing, and lessons learned documentation
- Demonstrate initiative and proactive problem-solving in ambiguous, rapidly changing situations with high ownership of deliverables
- Serve as liaison between business stakeholders and technical teams, ensuring accurate requirement translation and solution alignment
- Contribute to team efficiency by identifying process improvements and sharing knowledge
Requirements
Qualifications include 2+ years in a consulting or AI delivery role, with documented evidence of full workstream delivery and proficiency across multiple AI platforms. Candidates must have advanced proficiency architecting intelligent automation solutions using low-code AI platforms, including AI agents with autonomous task execution, multi-tool orchestration, planning capabilities, and complex reasoning workflows within visual, configuration-based environments. Strong understanding of coding concepts, APIs, databases, natural language processing, Azure AI services, and prompt engineering is essential. Hands-on experience across multiple technology stacks including Microsoft Power Platform (Power Apps, Power Automate, AI Builder, Copilot) and emerging automation tools such as n8n, Make, and Zapier is required. Advanced proficiency in Azure AI services, prompt engineering, and AI agent development is necessary. Experience with low-code/no-code implementations, scalable intelligent automation systems, and AI Ops principles is also crucial. Candidates should have prior experience supporting opportunity identification, proposal development, and client presentations through technical expertise and direct client relationships. A demonstrated ability to stay current with the rapidly evolving AI landscape, learning new tools quickly, and working independently in ambiguous situations with minimal supervision is expected. Candidates must have relevant degrees in business, engineering, computer science, information systems, data analytics, or a related field, or equivalent professional or academic experience.
Qualifications
- 2+ years in a consulting or AI delivery role, with documented evidence of full workstream delivery and proficiency across multiple AI platforms
- Proven track record navigating complex stakeholder environments, translating ambiguous business needs into technical requirements, and communicating effectively with both technical and non-technical audiences
- Deep expertise in Generative AI, ML applications, and cloud AI platforms, with hands-on experience across multiple technology stacks including Microsoft Power Platform (Power Apps, Power Automate, AI Builder, Copilot) and emerging automation tools such as n8n, Make, and Zapier
- Advanced proficiency architecting intelligent automation solutions using low-code AI platforms, including AI agents with autonomous task execution, multi-tool orchestration, planning capabilities, and complex reasoning workflows within visual, configuration-based environments
- Strong understanding of coding concepts, APIs, databases, natural language processing, Azure AI services, and prompt engineering, with the ability to independently support and extend low-code/no-code implementations
- Background designing scalable intelligent automation systems with AI agents and autonomous workflows, including data model design, connector configuration, and third-party service integration
- History of evaluating and selecting optimal low-code platforms for specific use cases, based on technical requirements, platform capabilities, and integration needs
- Prior experience supporting opportunity identification, proposal development, and client presentations through technical expertise and direct client relationships
- Track record staying current with the rapidly evolving AI landscape, learning new tools quickly, and working independently in ambiguous situations with minimal supervision
- Advanced communication skills with ability to convey complex AI concepts to both technical and non-technical audiences; excellent written and verbal communication for effective interaction with diverse stakeholders
- Ability to demonstrate proactive problem-solving and taking action independently while knowing when to ask questions; comfort working in ambiguous situations; adaptive and introspective, with willingness to learn, guide, lead, and follow as the work requires
- Learn new tools quickly and operate effectively outside comfort zones in a rapidly changing technology landscape
- Demonstrate high ownership across all assigned work, including smaller projects and engagements with ambiguous requirements
- Build technical and domain expertise through continuous learning and feedback application
Preferred Qualifications
- Demonstrated experience participating in C-suite client interactions and executive-level communications
- Skilled in providing informal mentoring to junior consultants, with a history of positive contributions to team knowledge-sharing
- Background collaborating with sales teams on opportunity qualification, proposal writing, or client presentations
- Adept at contributing to practice improvement initiatives, methodology documentation, or lessons-learned frameworks
- Prior exposure to business analysis, consulting, technology roles, citizen development, or digital transformation initiatives
- Background in project support, requirements gathering, or stakeholder interaction in academic or professional settings
- Demonstrated interest in AI adoption, with hands-on engagement across multiple technology stacks or platforms
What We Look For
Beyond technical knowledge, we look for candidates who demonstrate: Intellectual curiosity – asking thoughtful questions and seeking deeper understanding Attention to detail – noticing subtle issues and inconsistencies Analytical thinking – breaking down complex problems and thinking critically Tenacity – following issues through to resolution, even when challenging Strong communication – conveying ideas clearly to technical and non-technical audiences We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.