SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 bridge the gap between presales and postsales engagement.
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 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 to demonstrate technology potential.
**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.
**Cross-Functional Collaboration**: Act as the bridge between customers and internal teams, synthesizing feedback to influence product roadmaps. Develop reusable assets and best practices to scale go-to-market efforts. Travel 30-60% to foster client relationships and support on-site deployment.
Required qualifications: 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 using Python, JavaScript, or similar. Strong business acumen and problem-solving skills. Executive presence and communication skills to influence senior stakeholders. Experience with sales frameworks like MEDDPICC is a plus.
