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Mistral is a full-stack AI company providing frontier models, developer tools, applications, and compute infrastructure. They partner with enterprises across finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems.
As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working from strategic vision through production implementation. You'll partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales.
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, articulating the "art of the possible" and clear paths 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. Own execution of pilot projects and proofs-of-value, demonstrating technology potential and paving the way for full-scale deployment.
**Value Realization & Customer Success**: Serve as a trusted advisor guiding customer AI strategy and ensuring they maximize investment value. Monitor KPIs tied to business outcomes and communicate progress to executive sponsors. Proactively 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.
