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Mistral is seeking an AI Deployment Strategist to drive adoption and deployment of its full-stack AI solutions with public sector customers. The role bridges business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes across high-stakes industries including finance, manufacturing, defense, healthcare, and government.
In this position, you will lead executive-level workshops with public sector leaders to identify mission-critical challenges where Mistral's AI can drive significant improvements. You'll co-create AI adoption roadmaps with government and institutional customers, articulating strategic possibilities while addressing regulatory, ethical, and operational constraints. Working with Account Executives, you'll develop compelling business cases, quantify ROI, and align solutions with public sector objectives such as digital transformation, citizen services, and operational efficiency.
You will architect end-to-end AI solutions, integrating Mistral's models and platform into public sector workflows and technical infrastructure. Partnering closely with the Applied AI team, you'll design, prototype, and deploy AI solutions in production environments, ensuring scalability, compliance, and public value. You'll own the execution of pilot projects and proofs-of-value, demonstrating technology potential and paving the way for full-scale government deployment.
As a trusted advisor, you'll guide public sector customers through their AI strategy journey, helping them maximize investment value. You'll monitor KPIs tied to business and societal outcomes, communicating progress to executive sponsors and political stakeholders. You'll proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
You'll act as the critical bridge between public sector customers and Mistral's internal teams, synthesizing feedback to influence product and research roadmaps. You'll develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
Required: 2+ 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 (Python, JavaScript, or similar); strong business acumen and problem-solving skills; executive presence and communication ability to influence senior stakeholders; resilience and results-driven mindset. Sales qualification frameworks (MEDDPICC) and value-based selling experience is a plus.
