AI Advisory Consultant

Scale AIs Advisory practice is the most forward-leaning bet in our go-to-market motion. Were 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 Its 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 Scales 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 teams 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. Its a direct path into the AI Advisory Principal track.

Youre 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.
• Run the engagement day-to-day. You own the timelines trackers and single source of truth monitoring open items and follow-ups across Solutions Engineering and Design and keeping the engagement on track from kickoff to final readout. Working closely with the Solutions Engineering workstream you weave their technical and feasibility findings into the readouts so the engagement tells one coherent story.
• Build the case ahead of client conversations. You develop the research and supporting materials that set up pre-sales conversations to land and support the Principal in building out vertical thought leadership.
• Turn each engagement into reusable knowledge. You own the debrief notes findings write-ups and structured hand-offs after each engagement and you contribute the patterns and materials that improve the motion and playbook.
• Build the AI workflows that make us faster. You spot where the teams work can be automated or templatized recaps status tracking synthesized readouts reusable materials and you build those AI-powered solutions not just flag them. You also set up baseline measurement and tracking.

Ideally youd 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.
• A track record of structured analytics-driven problem solving turning messy ambiguous inputs into a clear defensible point of view.
• Excellent communication produces clean exec-ready first drafts of findings and materials that need little editing.
• A history of diligence and organization across multiple workstreams owns the trackers and details so nothing slips even under time pressure.
• Technical credibility. No engineering degree required. You are curious enough to push back on engineering leads when the architecture or the accuracy story doesnt hold up.
• Hands-on with GenAI in daily work can point to concrete examples of using AI tools to work faster.
• Commercial instinct. You think in business levers. You articulate ROI without prompting and spot upsell logic the Account Executives missed.
• Willingness to travel 30-60 percent which can include international trips depending on the account.

Nice to Have

• 0-to1 experience developing or deploying GenAI applications in an enterprise setting.
• Exposure to enterprise AI or one of Scales target verticals (Consumer Financial & Professional Services Healthcare & Life Sciences).
• Experience designing and synthesizing design-thinking workshops.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Ernst & Young Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.

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