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AI Deployment Strategist

Mistral AIMontréalSolutions
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Salary
Not listed
Job type
Full-time
Posted
8 Jul 2026
Status
Open · checked 8d ago

About this role

Role Overview

The AI Deployment Strategist position at Mistral AI in Montréal is a full-time role suited for professionals with at least two years of client-facing strategic and technical experience. This position focuses on driving the adoption and deployment of full-stack artificial intelligence solutions, guiding enterprise clients from initial strategic vision to production implementation.

Key Responsibilities

Lead executive-level workshops to identify business challenges and opportunities where Mistral technology can drive improvements.
Co-create artificial intelligence adoption roadmaps with customers and articulate clear paths to value alongside Account Executives.
Architect end-to-end solutions by integrating models and platforms into customer workflows and technical infrastructure.
Partner with the Applied AI team to design, prototype, and deploy production systems, while owning pilot projects and proofs-of-value.
Serve as a trusted advisor to monitor key performance indicators, communicate progress to executive sponsors, and identify expansion opportunities.
Bridge the gap between clients and internal teams by synthesizing feedback to influence product and research roadmaps.
Develop reusable assets, best practices, and playbooks to scale go-to-market efforts.
Travel approximately 30 to 60 percent of the time to foster client relationships and support on-site deployments.

Requirements

Minimum of 2 years of experience in a client-facing strategic and technical role such as data science consulting, technical sales, or value engineering.
Degree in a relevant scientific field including Computer Science, Data Science, or Engineering.
Foundational knowledge of artificial intelligence, machine learning, and data science with the ability to advise technical and non-technical audiences.
Hands-on experience building and deploying applications using Python or JavaScript to demonstrate value.
Strong business acumen and problem-solving skills to structure ambiguous challenges into actionable solutions.
Executive presence and communication skills capable of influencing senior stakeholders like VPs and C-level executives.
Resilient, results-driven attitude with comfort leading through influence in a collaborative setting.

Nice to Have

Experience with sales qualification frameworks such as MEDDPICC.
Experience with value-based selling.

Skills and Tools

Python
JavaScript
AI/ML/Data Science foundational concepts
Value-based selling frameworks (e.g., MEDDPICC)

About the Company

Mistral AI provides full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute. The company partners with enterprises tackling difficult challenges across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, allowing them to run customized systems on their own terms. Operating with a dynamic, low-ego, and collaborative team culture, Mistral AI has distributed teams across Europe, North America, Asia, and the Middle East.

How to Apply

Interested candidates should visit the official Mistral AI careers page to submit their application and complete the hiring process steps.

Skills and tech stack

PythonJavaScript

Questions candidates ask

What is the location of the AI Deployment Strategist role?

This position is located in Montréal, though the role requires approximately 30% to 60% travel to foster client relationships and support on-site deployments.

How much experience is required for this position?

Candidates must have 2+ years of experience in a client-facing strategic and technical role, such as data science consulting, technical sales, or value engineering.

What technical skills are needed for the role?

Candidates need foundational knowledge of AI, ML, and data science, alongside hands-on experience building and deploying AI applications using Python or JavaScript.

What does the hiring process look like at Mistral AI?

The hiring process includes a talent acquisition screening call, a 30-minute hiring manager interview, a 45-minute business acumen interview, a 60-minute technical deep dive on LLMs, a panel with home prep and restitution, a 30-minute value talk, and a reference check.

What educational background is required?

Applicants must hold a degree in a relevant scientific field, such as Computer Science, Data Science, or Engineering.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site