Top Artificial Intelligence Jobs in France

The Engineering Manager will lead the Evaluation & Annotation team, define technical roadmaps, manage engineers, and enhance AI infrastructure and processes.

Lead and grow an Applied Science team building agentic AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, move prototypes to production, hire and onboard scientists, partner with product and engineering, and represent team priorities to stakeholders.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

Lead technical vision and architecture for LLM/GenAI features, coach and grow the AI engineering team, ship end-to-end production features, optimize cost/latency/reliability, integrate LLMs and search/RAG systems, and collaborate with product and design to scale AI capabilities.

Support P&C senior management with market and competitive intelligence, strategic plan monitoring, research and analysis, external communications, M&A assessment, AI deployment initiatives, business development, and ad hoc presentations and briefings for executives and stakeholders.

Rotational graduate program within Alan's Insurance team covering enterprise offers, insurance product lifecycle, analytics and repricing, and reinsurance/risk. After a two-month onboarding you'll work cross-functionally with Engineering, Data, Finance and Marketing to build prevention-focused insurance products, leveraging SQL and AI, with coaching and visible impact from day one.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Lead AI-powered sales enablement for EMEA: design, build, and operationalize AI agents and automated workflows, run onboarding and continuous learning programs, use Gong and performance data to measure impact, influence senior stakeholders, and scale enablement for new product lines like Mirakl Ads and Connect.

Design, train, optimize, and deploy compact, high-throughput anomaly-detection models for streaming telemetry. Build training-data pipelines, integrate models into production with GPU/latency/cost constraints, create interpretability tools and agentic validation layers, and maintain/monitor systems including on-call rotation.

Lead a team of engineers and applied scientists to build cost-efficient specialized AI models and security capabilities, own end-to-end delivery from research to production, define evaluation pipelines and success criteria, collaborate with product and research, and mentor/hire to grow the team.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As an AI Research Engineer, you will work with research scientists to build infrastructure, implement models, and enhance AI capabilities in systems for production code repair and observability.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Manage and prosecute a global patent portfolio in wireless and video technologies; prepare and file EP/US/PCT and related applications; collaborate with inventors, licensing and litigation teams; map claims to standards and products; support post-grant reviews, assertion efforts, acquisitions, and SSO declarations.

Manage and grow the Training & Serving team, support building and scaling, define technical vision, and ensure a strong team culture while engaging in hands-on coding and reviews.

Build and ship full‑stack web features and microservices for a cloud‑native genomics platform. Lead design and code reviews, mentor engineers, and develop production LLM applications (RAG, evaluation, citations) using managed endpoints and containerized CI/CD deployments. Collaborate with Product, QA, and Architecture to deliver reliable, regulated healthcare software.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Lead customer deployments of AI Agents on the Moveworks ServiceNow platform: design and build integrations, architect full-stack AI solutions, tune LLM-driven workflows, partner with product and engineering, and drive customer adoption and reusable templates.

Lead design and delivery of AI-powered visualization and investigation features using LLMs. Build reliable, explainable systems combining deterministic product capabilities with generative models, drive prompt/context engineering, evaluation frameworks, and cross-team product-focused technical leadership and mentorship.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

In this role, you'll identify AI opportunities for enterprise clients, design scalable AI solutions, prototype implementations, and drive customer value from AI deployments while providing industry expertise.

Build and deploy production-grade AI solutions for clinical research: select and orchestrate LLMs, implement RAG and agentic systems for multimodal medical data, create scalable pipelines, and collaborate with cross-functional teams to integrate AI features that support patient recruitment and site selection.

Lead go-to-market strategy and commercialization for digital assets in EMEA. Drive product positioning, client engagements, regulatory and market analysis, cross-functional alignment, enablement materials, and influence global product roadmaps to scale adoption.

Support Value Engineering by analyzing customer process data, identifying use cases in the Celonis platform, quantifying financial impact, preparing management presentations, and presenting insights to C-levels while leveraging Celonis AI and data modeling.