AI Consultant

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

Requirements

• 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

Qualifications

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

Pay

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