AI Deployment Strategist, Physics - EMEA
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Paris
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
AI Deployment Strategist, Physics - EMEA at Mistral.ai
📍 Paris
Strategic discovery & vision setting
- Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
- Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
- Partner 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, ensuring scalability and impact.
- Own pilots and proofs-of-value, demonstrating the technology’s potential and paving the way for full-scale deployments.
Value realization & customer success
- Serve as a trusted advisor, guiding customer AI strategy and ensuring maximum value from Mistral solutions.
- Monitor and communicate outcome-driven KPIs with executive sponsors.
- Proactively identify expansion opportunities within accounts, building on initial wins 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.
- Create reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
- Travel (~30–60%) to foster deep client relationships and support on-site deployment.
Industry / vertical-specific responsibilities (fill only if Vertical-specific)
- Translate industrial engineering challenges into AI use cases
- Design hybrid AI-physics pipelines and validate them against ground truth simulations.
- Navigate enterprise IT constraints: Work with customer security teams to deploy models in air-gapped environments, VPCs, or on-prem HPC clusters.
- Drive adoption with engineers: Conduct hands-on workshops to upskill teams on AI-assisted workflows
What We're Looking For
- 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, technical sales)
- Deep understanding of computational mechanics, numerical methods (FEM/CFD/DEM), or multi-physics simulation.
- Familiarity with industry tools (e.g., Ansys, COMSOL, OpenFOAM, SimScale, or custom solvers)
- Degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering).
- Solid foundations in AI/ML/Data Science, with the credibility to advise technical and non-technical audiences.
- Hands-on experience building and deploying AI applications (Python, JavaScript, or similar).
- Strong business acumen and structured problem-solving skills.
- Executive presence and strong communication skills (VP / C-level stakeholders).
- Resilient, results-driven, and comfortable leading through influence in a collaborative environment.
Nice to have
Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.
- Experience with sales qualification frameworks (e.g., MEDDPICC).
- Experience with value-based selling.
- Prior experience in aerospace, automotive, or energy sectors
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