Top Artificial Intelligence Jobs in France

Lead the product design team to create innovative user experiences for an AI-based platform, conducting research and defining design vision.

As an AI Engineer, you will develop impactful AI features, build core applications, design scalable architectures, and enhance AI practices while collaborating across teams.

Drive the full AI product lifecycle, building LLM-powered workflows, defining requirements, managing product performance, and collaborating across teams.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

As an AI & Automation Engineer Intern, you will support Malt's AI roadmap, build workflows, create training materials, and assist AI Academy programs.

Act as bridge between business sponsors and AI/data engineering teams to define AI use cases, own product vision, roadmap and backlog, lead delivery of GenAI/ML solutions to production, drive adoption and ROI, manage vendors and budgets, and ensure GDPR, Responsible AI and security compliance.

Lead product discovery and delivery for Doctrine's legal AI platform: understand legal users, define metrics and requirements, run experiments/MVPs, validate with users, align cross-functional teams, and continuously improve product adoption and performance.

Design, implement, and maintain scalable cloud data pipelines, ETL/ELT and data warehouse solutions. Enable ML workflows and data models, ensure data quality and observability, collaborate with cross-functional teams, and apply CI/CD, containerized deployments, and infrastructure-as-code practices.

The role involves overseeing dubbing projects, ensuring quality, leading casting decisions, adapting scripts, and creatively managing multiple productions.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI Product Manager defines product strategies, collaborates with engineering and data teams, and oversees AI product development and performance evaluation.

Design, implement, and run automated benchmarking and validation pipelines for AI-driven genomic interpretation. Expand regression datasets, execute large-scale validation across curated VCFs, surface accuracy regressions, build automated QA for AI releases, and integrate validation into CI/CD with dashboards and documented failure modes.

Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.

As an Agentic AI Sales Executive, you will drive market growth of IFS Loops by selling AI-driven workflows in industrial markets, engaging stakeholders, and generating new revenue through consultative selling.

As a Solutions Architect in Applied AI, you will act as a technical advisor, guiding enterprise customers in integrating Claude into their technology stack and ensuring successful deployment while maintaining high safety standards.

The Senior AI Engineer will build AI-powered tools to assist healthcare professionals, working on Doctolib Assistant to enhance care delivery and automate tasks.

The Cloud Architect will lead delivery projects, provide technical leadership, design solutions, and mentor teams, focusing on AI and container technology.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

As a Legal AI Engineer at Qonto, you'll co-create the vision for an Augmented Legal Department, building AI agents to transform legal workflows while ensuring high adoption within the Legal team.

Design and implement backend intelligence for autonomous spatial workflows: architect multi-step agentic execution paths, state tracking and memory systems, consume streaming MCP data, and integrate alerting/notification pipelines (Slack, webhooks) driven by autonomous decisions.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Lead martech and agentic AI systems for marketing: define production-ready agents, build and manage the team, deliver AI-driven workflows for lead scoring, enrichment, prospection, orchestration and attribution, cut tool cost, own vendor decisions and observability, and report measurable pipeline and revenue impact to exec and board.

Build and fine-tune LLMs for editorial tone, design datasets and annotation/versioning, implement RAG and TTS/STT prototypes, evaluate generation quality with automated and human-in-the-loop metrics, and partner with journalists to iterate AI-driven editorial experiments.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.