Mistral AI · Abu Dhabi · Hybrid

Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi

5/5/2026

Description

About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
  • 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.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- 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.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
  • We care about people and outputs.
  • What matters is what you ship, not the time you spend on it
  • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
  • Always ask why. The best solutions come from deep understanding, not from copying what worked before
  • We say what we mean. Feedback is direct, timely, and given because we care.
  • No politics. Low ego, high standards.
  • We embrace an unstructured environment and find joy in it.

    • Qualifications

    • You are fluent in English.
    • You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
    • You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
    • You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
    • You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
    • You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
    • You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
    • You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
    • You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.

    Nice to have

    • Contributed to open-source projects, particularly in the LLM or AI space.
    • Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
    • A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

    Application

    View listing at origin and apply!

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