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Mistral is seeking an AI Deployment Strategist to drive adoption and deployment of its full-stack AI solutions across enterprise customers in high-stakes industries including finance, manufacturing, defense, healthcare, and the public sector.
In this role, you will operate at the intersection of business strategy, AI innovation, and hands-on deployment. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure seamless transitions from presales to postsales engagement.
Key responsibilities include:
**Strategic Discovery & Vision Setting**: Lead executive-level workshops to identify business challenges where Mistral's AI can drive transformative improvements. Co-create AI adoption roadmaps with customers, articulate the "art of the possible," and develop business cases that quantify ROI and align 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 solutions in production. Own pilot projects and proofs-of-value that demonstrate technology potential and pave the way for full-scale deployment.
**Value Realization & Customer Success**: Serve as a trusted advisor guiding customer AI strategy and ensuring maximum value realization from Mistral investments. Monitor KPIs tied to business outcomes and communicate progress to executive sponsors. Identify expansion opportunities within accounts 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. Travel 30-60% to foster deep client relationships and support on-site deployment.
Required qualifications: 2+ years in client-facing strategic and technical roles (data science consulting, value engineering, or technical sales). Degree in a relevant scientific field (Computer Science, Data Science, Engineering, etc.). Foundational knowledge of AI/ML/Data Science with credibility to advise technical and non-technical audiences. Hands-on experience building and deploying AI applications using Python, JavaScript, or similar languages. Strong business acumen and problem-solving skills. Executive presence and communication skills to influence senior stakeholders. Experience with sales qualification frameworks (MEDDPICC) and value-based selling is a plus.
