At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. Role Summary This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. What you will do Strategic Discovery & Vision Setting Lead executive-level workshops to identify business challenges and opportunities where Mistral's AI can drive step-change improvements. Co-create AI adoption roadmaps with customers, articulating the 'art of the possible' and a clear path to value. Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and technical infrastructure. Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact. Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors. Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product and research roadmaps. Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence. Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, or technical sales). You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.). Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. Executive presence and communication skills to influence senior stakeholders (VP, C-level). Hands on experience building and deploying AI applications (Python) Resilient, results-driven, and comfortable leading through influence in a collaborative environment. Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus.