AI Consultant

AI Consultant - On-site

Aqueity is looking for a customer-facing AI Consultant to serve as the critical link between our clients and senior AI engineering team. This role focuses on discovery, requirements definition, solution framing, and ongoing client communication throughout the AI solution lifecycle. The AI Consultant ensures business needs are clearly understood, accurately translated into technical requirements, and delivered with clarity, alignment, and trust.

Responsibilities

• Serve as the primary customer-facing point of contact for AI consulting engagements
• Lead discovery sessions to understand client workflows, business challenges, data sources, and success criteria
• Translate business problems into clear, actionable functional and non-functional requirements for AI solutions
• Act as the liaison between clients and senior AI engineers to ensure alignment and prevent scope drift
• Facilitate ongoing communication between technical and non-technical stakeholders
• Support solution framing, demonstrations, and explanations of AI capabilities and limitations in plain language
• Manage client expectations around feasibility, timelines, risks, and tradeoffs
• Support iterative feedback cycles during development, testing, and pilot phases
• Assist with data intake assessments, readiness evaluations, and solution documentation
• Ensure accurate and complete handoff documentation for engineering teams
• Track engagement progress and communicate next steps, timelines, and outcomes to clients

• Strong customer-facing communication and active listening skills
• High emotional intelligence with the ability to align competing priorities and de-escalate concerns
• Ability to translate complex technical concepts into clear, business-friendly language
• Strong organizational skills with consistent follow-through
• Comfortable operating in a fast-paced, evolving technical environment
• Able to ask the right questions to uncover risks, dependencies, and constraints
• Working understanding of AI and machine learning concepts, including large language models (LLMs), retrieval-augmented generation (RAG), workflow automation, data pipelines, and system integrations
• Ability to reason about data quality, structure, privacy, and security considerations
• Comfortable reviewing high-level system architectures, solution diagrams, and workflows
• Not responsible for coding, but able to collaborate effectively with senior engineers

• Background in consulting, solutions engineering, technical product management, pre-sales, or similar roles
• Experience supporting custom software or AI solution delivery environments
• Experience working directly with senior engineers and client stakeholders (enterprise or SMB)
• MSP, SaaS, or professional services experience preferred

• Competitive salary based on experience
• Health, dental, and vision insurance
• Performance-based bonuses and incentives
• Supportive and collaborative work culture
• Professional growth and advancement opportunities
• On-the-job training and mentorship

Salary Range: $70,000 - $110,000