AI Solutions Consulting Lead (Atlanta)
AI Solutions Consulting Lead Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and flexibility, Crowe Studio operates outside the constraints of traditional professional services delivery models, giving clients access to cross-disciplinary innovation, embedded AI capabilities, and global delivery resources – all in service of solving complex business challenges in faster, smarter ways. Through Crowe Studio, the firm provides clients with an innovation partner focused on rapid execution, deep technology integration, and high-impact results. We’re building the next generation of business models for professional services, where human expertise and AI are embedded within clients’ operations to drive ongoing impact, not just deliver isolated projects. As a member of Crowe Studio, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands‑on solution delivery, and strategic capability building. Our consultants work directly alongside client teams to close the gap between AI potential and real‑world business outcomes – guiding adoption strategies, leading delivery initiatives, and building the organizational capacity for sustained transformation. Unlike traditional advisory models, FDE consultants bring both technical depth and consulting rigor, enabling clients to design, prototype, and deploy AI solutions at speed. We emphasize outcome ownership, ensuring that every engagement delivers measurable impact – not just recommendations. Our consultants combine business analysis, AI fluency, and client‑facing communication to help companies identify the right use cases, build the right solutions, and demonstrate measurable impact. We specialize in making AI accessible – turning complex technology into concrete business value for clients across industries. Our engagements range from focused AI readiness workshops that define a clear transformation roadmap, to extended delivery partnerships where our consultants lead AI initiatives alongside client teams through to adoption and value realization. About the Team We invest in expertise. You’ll have the time, space, and support to go deep on client engagements and build lasting technical and strategic mastery. You’ll work with cross‑functional teams and client teams as a trusted advisor and domain expert. We believe in continuous growth. Our team is committed to professional development and knowledge sharing. We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long‑term performance. About the Role Role Overview The AI Consulting Lead within the Forward Deployed Engineering practice owns complete AI transformation projects end‑to‑end, with full accountability for scope, timeline, budget, and deliverable quality. Operating on the Lead Track, the AI Consulting Lead serves as the primary client relationship owner, manages a team of direct reports, and proactively drives business development opportunities in coordination with the sales team. This role requires strong executive presence, strategic decision‑making, and the ability to lead complex engagements in ambiguous, rapidly evolving environments. In this role, you will: Own complete AI transformation projects end‑to‑end with full accountability for scope definition, timeline management, resource coordination, budget oversight, and deliverable quality Manage direct reports through formal performance management, career development planning, and team capability building Serve as primary client relationship owner, managing C‑suite and stakeholder interactions, building trusted strategic partnerships, and ensuring long‑term account alignment Drive solution development through use case identification, prioritization, validation, data exploration, experimentation design, and Proof of Concept delivery Proactively drive business development activities including opportunity qualification, strategic proposals, client presentations, and opportunity sizing with the sales team Oversee practice improvement initiatives, contributing methodology enhancements and process improvements with measurable impact on team effectiveness Facilitate client workshops, training sessions, and capability building activities to ensure sustainable AI adoption Manage project risks, issues, and changes proactively while maintaining clear stakeholder communication and escalating appropriately Provide formal coaching to team members through structured 1:1s, development planning, and performance feedback Demonstrate initiative and full project ownership in ambiguous, rapidly changing situations Qualifications 4 years in a consulting, AI delivery, or technology leadership role, with demonstrated experience in project ownership and managing direct reports Proven ability to own complete AI transformation projects end‑to‑end, with full accountability for scope, timeline, budget, and deliverable quality across engagements of varying complexity Experience managing direct reports through formal performance management, career development planning, and team capability building, with documented development outcomes Strong track record as primary client relationship owner, managing C‑suite and executive stakeholder interactions and building trusted long‑term strategic partnerships Deep expertise in AI solution delivery across multiple technology stacks, including Microsoft Power Platform (Power Apps, Power Automate, AI Builder, Copilot) and emerging automation tools such as n8n, Make, Zapier, and Replit Agent Demonstrated ability to proactively drive business development, including opportunity qualification, strategic proposal development, and coordination with sales teams to advance pipeline Advanced understanding of coding concepts, APIs, databases, natural language processing, Azure AI services, and prompt engineering, with experience overseeing low‑code/no‑code solution delivery at project scale Background overseeing delivery of intelligent automation solutions including AI agents with reasoning and planning capabilities, agent orchestration, intelligent document processing, and conversational AI experiences History of guiding teams in strategic platform selection across Power Platform, n8n, Make, Zapier, and other emerging low‑code platforms based on use case requirements and integration needs Track record staying current with the rapidly evolving AI landscape and enabling team adoption of new and emerging tools and platforms Skilled in proactive problem‑solving and adaptive leadership in ambiguous situations, with a track record of full project ownership and delivery in unstructured environments Relevant bachelor’s degree in business, engineering, computer science, information systems, data analytics, or a related field, or equivalent professional or academic experience Travel for this role may be up to 80%, based on client and project needs. Actual travel requirements may vary Preferred Qualifications Prior experience owning client engagements with increasing scope and complexity, including direct accountability for client satisfaction and engagement renewal Demonstrated track record developing direct reports, with documented coaching outcomes and career progression among team members Background driving business development independently, including strategic account planning and active coordination with sales teams on complex opportunities Experience overseeing practice improvement or methodology development initiatives with measurable, documented impact Adept at facilitating executive‑level client workshops and capability building sessions that drive sustained AI adoption 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 (training vs inference, knowledge cutoffs, LLM fundamentals) 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 What We Look For 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. 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