AI Deployment Strategist (AI)

TL;DR

AI Deployment Strategist (AI): Driving the adoption and deployment of Mistral’s AI solutions from strategic vision to production implementation with an accent on bridging business strategy and AI innovation. Focus on designing AI roadmaps, architecting end-to-end solutions, and deploying production-ready AI applications.

Location: On-site in Montreal, Canada

Company

A pioneering AI company democratizing high-performance, open-source, and cutting-edge models for enterprise needs.

What you will do

• Lead executive-level workshops to identify business challenges and opportunities for AI implementation.
• Co-create AI adoption roadmaps and develop business cases to quantify ROI and align with customer objectives.
• Architect end-to-end AI solutions, integrating Mistral’s models into customer workflows and technical infrastructure.
• Partner with Applied AI teams to prototype and deploy scalable AI solutions in production.
• Serve as a trusted advisor to customers, monitoring KPIs and ensuring maximum value realization.
• Synthesize customer feedback to influence internal product and research roadmaps.

Requirements

• 2+ years in a client-facing strategic and technical role, such as data science consulting or value engineering.
• Degree in Computer Science, Data Science, Engineering, or a relevant scientific field.
• Foundational knowledge of AI/ML/Data Science with the ability to advise both technical and non-technical audiences.
• Hands-on experience building and deploying AI applications using Python.
• Strong executive presence and communication skills to influence C-level stakeholders.
• Must be based in or able to work on-site in Montreal, Canada.

Nice to have

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

Culture & Benefits

• Dynamic, collaborative, and low-ego team environment.
• Opportunity to be part of a pioneering company shaping the future of AI.
• Passionate culture focused on open-source and high-performance technology.
• Travel expectations between 30-60% to foster deep client relationships.

Hiring process

• Talent Acquisition screening call.
• Interviews covering Hiring Manager fit, Business Acumen, and a Technical Deep Dive on LLMs.
• Panel stage including home preparation and restitution, followed by a Value Talk and reference check.