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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.
In this hybrid IC/manager role, you will act as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation. You will deliver critical code on complex projects while staying hands-on in coding, reviewing, and optimizing AI solutions. You'll lead technical teams of Applied AI Engineers, providing mentorship and technical guidance for deploying state-of-the-art GenAI applications across industries.
Key responsibilities include leading technical discussions during pre-sales to translate customer requirements into actionable solutions; designing and overseeing implementation of complex AI systems including fine-tuning, RAG, agentic workflows, and custom LLM applications; driving innovation by identifying emerging trends in AI and championing best practices; and collaborating closely with product managers, researchers, and engineers to integrate customer feedback into product development.
You should have 7+ years of experience in AI/ML with at least 2+ years in a technical leadership role (Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. Deep expertise required 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) is essential. Strong software engineering skills including API design, backend/full-stack development, and system architecture are required. Excellent technical communication ability to articulate complex concepts to both technical and non-technical audiences is critical.
Ideal candidates have contributed to open-source projects in the LLM or AI space, have customer-facing experience (Solutions Architect, Customer Engineer, Technical Product Manager) with focus on enterprise AI adoption, and a track record of driving technical strategy and influencing product direction based on customer needs.
