Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers.
About The Job: Technical Lead, Applied AI
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.
What you will do
- 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.
About you
- 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.
Ideally, you 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.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Top Skills
AWS
Azure
GCP
Hugging Face
Langchain
Python
PyTorch
Similar Jobs
3 Hours Ago
Financial Services
The Executive Director will lead the EMEA Markets & Product Expansion team, focusing on payments in Western Europe, manage regulatory relationships, and drive market growth while collaborating with various stakeholders.
Top Skills:
Banking OperationsFinancial TechnologyPayment Systems
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
The Senior Account Manager will grow revenue from software solutions, manage customer relationships, and develop business strategies primarily in biotech and pharma sectors.
Top Skills:
Computational Chemistry Software
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.
Top Skills:
DaskDockerKafkaKubernetesPythonSparkSQL
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
