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Mistral provides full-stack AI solutions spanning 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 a Partner Solution Architect, you will drive adoption of Mistral's enterprise AI platform and models by working closely with the Partner and GTM teams. Your responsibilities include:
- Onboarding Mistral solutions and models to strategic ISV and technology partner platforms
- Conducting technical discovery with partners to understand client needs, challenges, and desired outcomes in collaboration with GTM
- Scaling enablement across strategic partner technical and sales teams
- Creating and maintaining partner enablement assets including technical demos, enablement videos, and reference architectures
- Supporting partners in identifying and qualifying opportunities where Mistral solutions deliver maximum value
- Representing Mistral at partner, customer, and industry events including executive briefings, conferences, and developer gatherings
- Collaborating across Mistral teams (Science, Product, Engineering, Support, GTM) to progress deals and provide technical expertise
You will work in a dynamic, collaborative environment with teams distributed across Europe, North America, Asia, and the Middle East.
REQUIREMENTS:
- Experience in a technical partner presales, solutions architect, or consulting role with significant partner and customer-facing exposure
- Track record of building enablement assets and driving evangelism at scale across partner organizations
- Experience partnering with ISVs or technology partners, including technical account strategy, proof-of-concept scoping and support, and execution
- Strong Python or TypeScript skills
- Working knowledge of cloud architecture and deployment patterns for AI and ML solutions
- Strong stakeholder management skills, including comfort with C-level conversations and outstanding presentation abilities across technical and business audiences
- Bachelor's or Master's degree in computer science, engineering, mathematics, or related field, or equivalent experience
NICE TO HAVE:
- Familiarity with MEDDPICC and Command of the Message
- Working knowledge of generative AI serving architectures (e.g., vLLM)
- Working knowledge of Kubernetes
