Applied AI, Forward Deployed Engineer - Cybersecurity (Canada)

Montreal, QC

About the role

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role summary We are seeking an Applied AI Engineer to build the customer-facing cyber service and use-cases on top of our cyber harnesses. You will turn "we have agents" into "we shipped something a client uses." This role is about composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients. Your work will bridge the gap between our foundational cyber harnesses and the agentic solutions that clients deploy. While SWE-Cyber makes the platform robust and scalable, and Pentesters run the solution and guide the direction, you will focus on building the agentic use-cases and client-facing service that solve real security problems. What you will do Client-Facing Agentic Solutions • Compose red-team / blue-team agentic workflows for production use-cases • Configure harnesses for cloud defense, vulnerability scanning, dynamic red-teaming, and penetration testing scenarios • Work directly on client use-cases, translating security

requirements into agentic solutions • Turn prototype agents into deployed services that clients rely on Context Engineering & Orchestration • Design and implement context engineering that enables agents to operate effectively in cybersecurity domains • Orchestrate multi-agent systems for complex security workflows • Build the agentic layer that sits between the harness and the client Service Delivery • Ship fast and iterate based on client feedback and real-world performance • Operate independently while leveraging internal building blocks and frameworks • Collaborate with pentesters to ensure domain accuracy and effectiveness • Partner with SWE-Cyber to ensure the platform supports your use-case

requirements About you • Strong applied AI engineer with hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems • You ship fast, with a bias toward action and delivery • Operate independently with a customer-led mindset • Able to reuse internal components and bricks effectively • Some cyber context is a real plus, but not mandatory - we can pair you with pentesters for domain depth • Strong problem-solving abilities and attention to detail • Excellent communication skills and collaborative attitude It would be ideal if you also have: • Genuine cyber or pentest knowledge • Experience building agentic harnesses or multi-agent systems end-to-end • Strong background in evals and benchmarking of agent systems • Experience with security tooling or workflows • Prior work on production AI systems in regulated or high-stakes environments • Some of our clients have French-speaking customers, so French proficiency is a strong plus What We Offer We offer a comprehensive

benefits package designed to support your well-being, growth, and work-life balance.

Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific

perks. For the most up-to-date details on

benefits available in your location, please refer to our

Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About Mistral AI

Mistral AI presents a suite of configurable large language models and AI services tailored for diverse enterprise applications. It offers both open-weight and commercially licensed models that support tasks such as advanced reasoning, code generation, multitasking across modalities, and chatbot interactions. The company delivers full-stack AI capabilities, spanning model customization, deployment via APIs, agent-based automation, and scalable infrastructure, enabling integration into existing enterprise systems. Responses draw on publicly available technical information and aim for clarity and neutrality.

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Job details

Location

Montreal, QC

Company

NameMistral AI
IndustryAgentic AI
Team Size4

Funding

Total raised

$1.9B

Last stage

Series A

Investors

Andreessen Horowitz
Lightspeed Venture Partners
General Catalyst
AASML
DST Global

Founders

Timothée Lacroix

Timothée Lacroix

Co-founder

LinkedIn
Arthur Mensch

Arthur Mensch

CEO

LinkedIn
GL

Guillaume Lample

Co-founder

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.