Head of AI Solutions

We're looking for a Head of AI Solutions to be the face of our AI capability with enterprise clients — someone who is as comfortable in a boardroom shaping an AI strategy with a C-suite as they are rolling up their sleeves to scope a proof of concept. This is a rare dual role: strategic advisor and hands-on solution architect.

• Lead enterprise-level conversations. Act as a trusted advisor to client executives and stakeholders, framing how AI can address real business challenges — not just technology for technology's sake.
• Provide thought leadership. Represent the firm's point of view on AI trends, use cases, and emerging capabilities in client meetings, industry forums, and internal knowledge-sharing.
• Build proactive AI proposals. Identify opportunities before clients ask for them — shaping solution concepts, scoping approaches, and building business cases and proposals that win new work.
• Get hands-on. Contribute directly to solution design, architecture reviews, and technical feasibility assessments — this isn't a purely advisory seat.
• Collaborate across the studio. Partner closely with the technology studio, delivery teams, and practice leads to align proposed solutions with real delivery capability, timelines, and cost.
• Bridge strategy and execution. Work with engineering, data science, and product teams to ensure proposals translate cleanly into scoped, deliverable engagements.
• Mentor and grow talent. Act as a senior voice within the AI practice, coaching junior consultants and solution architects on client engagement and proposal craft.

• 10+ years of experience in AI/ML strategy, solutioning, or technology consulting, with a track record of leading enterprise client relationships.
• Demonstrated ability to translate business problems into AI solutions — spanning generative AI, machine learning, data platforms, and automation.
• Strong proposal and business development experience — you can scope, cost, and pitch a solution, not just describe one.
• Excellent executive presence and communication skills; comfortable presenting to C-level stakeholders.
• Hands-on technical fluency in AI/ML concepts, architectures, and modern tooling (you don't need to write production code daily, but you need to speak the language credibly with engineers).
• Experience working within or alongside a technology studio, consulting practice, or delivery organization — you understand how proposals become projects.
• A collaborative, low-ego style — this role only works if you can build trust across sales, delivery, and technical teams.

• Experience with specific industry verticals (financial services, healthcare, retail, manufacturing, etc.)
• Prior experience building or scaling an AI practice or center of excellence
• Familiarity with responsible AI/governance frameworks
• Public speaking, published thought leadership, or conference experience