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Applied AI, Technical Lead, Forward Deployed AI Engineer - London

Mistral - London, United Kingdom - In-office

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Mistral is seeking a Technical Lead, Applied AI to drive technical strategy, execution, and delivery of complex AI solutions for enterprise customers. You will lead a team of Applied AI Engineers, ensuring successful deployment of Mistral AI products and development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation. You'll collaborate closely with research, product, and engineering teams to shape the future of offerings, bridging cutting-edge AI research with real-world enterprise applications. Key Responsibilities: - Deliver critical code for complex projects as a hands-on individual contributor, staying 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 - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral's technological advantages - Design and oversee implementation of complex AI systems including fine-tuning, RAG, agentic workflows, and custom LLM applications - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices - Work closely with product managers, researchers, and engineers to integrate customer feedback into product development Mistral operates with a results-oriented culture emphasizing shipping over process, direct feedback, low ego, and high standards. The team is distributed across Europe, North America, Asia, and the Middle East. Requirements: - PhD or Master's degree in AI, Machine Learning, Computer Science, or related field - 7-8+ years of experience in AI/ML - At least 2+ years in a technical leadership role (Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions - Proven track record leading teams to deliver complex AI projects from prototyping to production in tech, finance, healthcare, or industrial automation - Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale - Proficiency in Python, PyTorch, and modern AI frameworks (LangChain, Hugging Face) - Strong software engineering skills including API design, backend/full-stack development, and system architecture - Excellent technical communication ability for both technical and non-technical audiences - Fluent in English Ideally: - Contributions to open-source projects, particularly in LLM or AI space - Experience in customer-facing roles (Solutions Architect, Customer Engineer, Technical Product Manager) with focus on enterprise AI adoption - Track record of driving technical strategy and influencing product direction based on customer needs

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