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 are responsible for maintaining high-quality outcomes within timelines, facilitating client workshops, and leading use case identification, prioritization, and validation activities.

Responsibilities

• Deliver complete workstreams or specialized solution components with deep technical expertise, maintaining quality outcomes and meeting delivery 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
• Identify process improvements and share knowledge to contribute to team efficiency

Requirements

• 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

Qualifications

• Relevant degree in business, engineering, computer science, information systems, data analytics, or a related field, or equivalent professional or academic experience
• Minimum Knowledge Expectations: All candidates for Crowe Studio positions are expected to demonstrate baseline AI and technical knowledge, regardless of role or level. Core Knowledge Areas: Basic ML/AI literacy, prompt engineering and instruction hierarchies, context window and context management, model selection and capabilities, fine-tuning vs prompting vs RAG, hallucination and grounding strategies, guardrails and output validation, evals and testing approaches, security and PII awareness, responsible AI and governance, LLM APIs and integration standards, RAG and vector search, vector databases and embeddings, agentic workflows and tool use, cost and performance awareness, common enterprise use cases