AI Advisory Consultant

Job description

AI Advisory Consultant is an explicitly classified full-time position with Scale AI in San Francisco, CA; New York, NY. The current official employer-authorized vacancy describes the role context, expected work, and applicant qualifications. This STRIDETO summary retains source-backed information in original wording and directs applicants to the exact official vacancy and application route. Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients. As an AI Advisory Consultant, you sit at the center of every engagement — paired with a Principal, producing the research, synthesis, impact sizing, and workshop materials that shape the work, and pressure-testing the team's assumptions. You also run the engagement day-to-day — owning the timelines, trackers, and coordination across Solutions Engineering and Design, and acting as the single source of truth that keeps everything on track from kickoff to final readout. This is a delivery role; you own real parts of the advisory work and partner closely with the Principal to deliver the engagement. It's a direct path into the AI Advisory Principal track. What You'll Own You're at the center of every engagement — doing the work and keeping it on track. Deliver the core advisory work. You produce the output the engagement runs on — market research, impact sizing, synthesis, and workshop materials — working alongside the Principal

Requirements

• Turn each engagement into reusable knowledge.
• Qualifications Ideally, you’d have Consultant equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 3+ years of work experience.
• Experience on AI strategy or transformation projects strongly preferred.
• Nice to Have 0-to1 experience developing or deploying GenAI applications in an enterprise setting.
• Experience designing and synthesizing design-thinking workshops.
• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.