About this role
This remote Partner Solution Architect role at Mistral AI in New York involves driving the adoption of state-of-the-art enterprise AI platforms and models by working closely with partner and go-to-market teams. It suits experienced technical professionals who excel in customer-facing presales, architectural consulting, and partner enablement within the artificial intelligence sector.
Role Overview
As a member of the Partner Solution Architecture Team, the professional works directly with partner and go-to-market teams to accelerate the deployment of cutting-edge enterprise artificial intelligence models. The position involves onboarding solutions onto strategic partner platforms, conducting technical discovery, and driving ecosystem enablement at scale. Team members collaborate across multiple internal departments, including science, product, engineering, and support, to advance strategic deals and deliver maximum customer value.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Mistral AI delivers full-stack artificial intelligence solutions ranging from foundational models to developer tools, applications, and compute capacity. The organization collaborates with enterprises operating in high-stakes sectors like healthcare, finance, manufacturing, defense, and the public sector to build customized artificial intelligence systems. Operating with a distributed workforce spanning North America, Europe, Asia, and the Middle East, the team values a creative, low-ego, and collaborative culture.
How to Apply
Interested candidates should visit the official company careers page to submit an application for this opportunity.
Skills and tech stack
Questions candidates ask
Where is this job located?
The role is based in New York with remote work options available.
What programming languages are required?
Candidates must have strong skills in Python or TypeScript.
What department does this role belong to?
This position is part of the Solutions department.
What are some of the nice-to-have qualifications?
Preferred qualifications include working knowledge of Kubernetes, generative AI serving architectures like vLLM, and familiarity with MEDDPICC and Command of the Message.
How should I apply for this position?
Applicants should apply directly on the official company careers page.
