AI Architect
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Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral AI
full-time
Posted on:
Location Type: Hybrid
Location: Paris • 🇫🇷 France
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorch
About the role
- 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.
Requirements
- 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.
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development opportunities
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMachine Learningfine-tuning LLMsadvanced RAGagentic systemsNLP applicationsPythonPyTorchAPI designsystem architecture
Soft skills
technical leadershipmentorshiptechnical communicationcollaborationproblem-solvinginnovationcustomer engagementteam leadershipadaptabilitystrategic thinking
Certifications
PhD in AIMaster’s degree in AIMaster’s degree in Machine LearningMaster’s degree in Computer Science