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Mistral is a full-stack AI company providing frontier models, developer tools, applications, and compute infrastructure. The company partners 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 across the entire customer lifecycle from strategic vision through production implementation. This role bridges business strategy, AI innovation, and hands-on deployment execution.
Key responsibilities include:
Strategic Discovery & Vision Setting: Lead executive workshops to identify business challenges where Mistral's AI can drive significant improvements. Co-create AI adoption roadmaps with customers, 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. 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 maximizing investment value. 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: 4+ years in client-facing strategic and technical roles (data science consulting, value engineering, technical sales). Degree in a relevant scientific field (Computer Science, Data Science, Engineering). Foundational AI/ML/Data Science knowledge 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.
