About the Company

Company Name: Qantev
Location: Paris
Founded: 2018
Team Size: Over 80 professionals
Industry: AI Platform for Healthcare

Qantev is the most advanced AI platform dedicated to helping health insurers deliver superior healthcare and claims experiences to their members. By leveraging insurers' historical health claims data and applying advanced Machine Learning techniques and Generative AI, Qantev predicts patient journeys, optimizes healthcare outcomes, and streamlines healthcare payer operations.

We are backed by top investors and industry leaders, serving clients across Europe, the United States, Latin America, Asia, and the Middle East. Together, we are revolutionizing the insurance claims landscape with AI-driven solutions.

About the Role

Job Title: Senior AI Lead
Location: Paris
Employment Type: Full-time
Department: AI/ML Development

Position Overview

We are seeking a Senior AI Lead with deep expertise in Deep Learning, Foundation Models, and Agentic AI systems to drive our next generation of intelligent applications. You will lead a high-performing team of data scientists and ML engineers in developing AI-driven SaaS products for the healthcare industry. This role requires a balance of hands-on technical leadership, architectural oversight, and strategic vision to translate cutting-edge AI research into production-level solutions that deliver business value.

Key Responsibilities

Qualifications

Required:

• S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 6+ years of experience in AI/ML development, with a strong track record in deep learning.
• Expertise in building and deploying models using PyTorch, TensorFlow, or JAX.
• Experience with transformer architectures, diffusion models (e.g., Gemini Diffusion), and reinforcement learning.
• Proven experience with agent frameworks (e.g., LangGraph SmolAgent, Swarn).
• Experience with LLMOps (e.g., Langsmith, Langfuse).

Preferred:

• Experience in deploying AI solutions in cloud environments (AWS, GCP, Azure).
• Familiarity with human-in-the-loop systems, simulation environments, and evaluation benchmarks for autonomous agents.
• Experience in aligning agentic behavior with safety and interpretability constraints.

Nice to Have:

• Familiarity with open-source foundation models (e.g., LLaMA, Mistral, Qwen, Gemma, Phi) and fine-tuning them for agent tasks.
• Experience in InsurTech or the Healthcare Industry.

Soft Skills

• Be proactive, product-minded, and business-driven.
• Strong leadership and team-building skills with a proven ability to inspire, motivate, and develop data scientists & ML engineers.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Ability to work in a fast-paced, dynamic environment, managing multiple priorities and deadlines.