AI Tech Lead: Architect, GenAI & MLOps

Keyrus; Nantes; On-site; EUR 90,000 - 130,000; Full time

Job summary

Jobtailor in Nantes is seeking a Senior AI Engineer to shape AI architecture, lead a team of AI engineers, and oversee end-to-end deployment of AI use cases for clients. You will drive MLOps practices, maintain code quality, and stay ahead of generative AI innovations.

The role requires 6+ years in AI/data science with leadership experience, strong Python expertise, and cloud platform familiarity (Snowflake, Azure, AWS, GCP). English proficiency is a plus.

Qualifications

• 6+ years in AI engineering or data science, with 2+ years in technical leadership.
• Degree in Computer Science, Data Science, Applied Mathematics or equivalent.
• Proven expertise with LLMs, generative AI and RAG architectures.
• Strong Python skills and ML ecosystem (PyTorch, HuggingFace, LangChain).
• Hands-on MLOps and production deployment (CI/CD, monitoring, orchestration).
• Familiar with cloud/data platforms (Snowflake, Azure, AWS, GCP).
• Excellent ability to communicate complex concepts to business stakeholders.
• Leadership, pedagogical skills, autonomy and team spirit.
• English proficiency is a plus.

Responsibilities

• Define and evolve AI architecture choices across ML, DL, and generative AI.
• Drive technology choices and oversee code reviews and best practices.
• Lead and develop a team of AI Engineers from junior to senior.
• Manage end-to-end production deployment of AI use cases.
• Interact with clients for scoping, reporting, and strategic advisory.

Skills

Leadership

Team development

Communication

Autonomy

English proficiency

Education

Degree in Computer Science, Data Science, Applied Mathematics or equivalent

Tools

Python

PyTorch

HuggingFace

LangChain

MLflow

Airflow

Snowflake

Azure

AWS

GCP

Job description

Jobtailor in Nantes is seeking a Senior AI Engineer to shape AI architecture, lead a team of AI engineers, and oversee end-to-end deployment of AI use cases for clients. You will drive MLOps practices, maintain code quality, and stay ahead of generative AI innovations.

The role requires 6+ years in AI/data science with leadership experience, strong Python expertise, and cloud platform familiarity (Snowflake, Azure, AWS, GCP). English proficiency is a plus.