Applied Ai, Technical Lead, Forward Deployed AI Engineer - Montreal

Mistral AI Mistral AI · AI Frontier · Montreal, QC · Solutions

Technical Lead, Applied AI role at Mistral AI focused on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams, acting as a primary technical point of contact, and bridging the gap between AI research and real-world applications. Key responsibilities include hands-on coding, leading technical teams, pre-sales discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires 7-8+ years of experience in AI/ML, with 2+ years in a technical leadership role, deep expertise in LLM fine-tuning, RAG, and agentic systems, and strong Python/PyTorch skills.

What you'd actually do

  1. Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
  2. Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
  3. Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
  4. Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
  5. Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.

Skills

Required

  • Python
  • PyTorch
  • LangChain
  • Hugging Face
  • technical leadership
  • fine-tuning LLMs
  • RAG
  • agentic systems
  • NLP applications
  • API design
  • backend development
  • full-stack development
  • system architecture
  • technical communication

Nice to have

  • cloud platforms (AWS, GCP, Azure)
  • MLOps tools
  • customer-facing roles
  • contributed to open-source projects
  • driving technical strategy

What the JD emphasized

  • leading teams to deliver complex AI projects
  • fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale
  • technical leadership role
  • customer-facing roles

Other signals

  • leading technical teams
  • deploying state-of-the-art GenAI applications
  • design and oversee the implementation of complex AI systems
  • fine-tuning, RAG, agentic workflows
  • customer-facing roles