Top Artificial Intelligence Jobs in Paris

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

Lead the design, build, and roadmap of Edenred's Data & AI platform (Databricks/Unity Catalog). Deliver secure, scalable, observable platform primitives, enable agent interoperability, co-own CI/CD and infra-as-code, coach teams, and prevent platform fragmentation while enabling safe experimentation.

The AI Full Stack Engineer will design, develop, and maintain AI-powered web applications. Responsibilities include front-end and back-end development, API creation, and collaboration with product teams to deliver intuitive user interfaces and secure data management.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

Embed with client teams to diagnose workflows, redesign operating models, and build AI-powered proofs of concept using LLM APIs and low-code/no-code tools. Drive adoption through demos, change management, measurement frameworks, and scoped implementations that deliver measurable ROI.

Map and redesign creative workflows, identify bottlenecks, and build AI-powered pipelines integrated with DAMs/CMS and marketing stacks. Configure creative AI tools, develop prompt architectures and agent workflows, deploy proofs of concept and production solutions, establish governance, train teams, and track success metrics to ensure adoption and sustainability.

The Solution Architect for Agentic AI is responsible for defining AI architecture, driving adoption of best practices, and supporting product teams in designing scalable AI solutions while ensuring alignment with enterprise architecture standards.

Lead the IT & AI Ops organization, overseeing IT strategy, operations, and infrastructure to support quantum computing research and engineer workflows. Manage teams and ensure robust security practices while optimizing technology resources for rapid innovation.

Build and scale GPU-based simulators for reinforcement-learning agents across thousands of parallel environments. Develop training tooling, domain randomization, flight and sensing models, and sim-to-real policy transfer pipelines. Improve simulation fidelity and performance, support deployment to physical aircraft, and collaborate with AI and engineering teams on mission-focused outcomes.

Support IT automation and AI adoption: automate onboarding/offboarding, manage device fleet (Linux/Windows/Mac) via MDM (JumpCloud), build provisioning and access workflows, manage helpdesk and incidents, improve workstations and reporting, and implement AI-powered IT workflows.

Lead Malt’s Experience Systems & AI function, evolving its design system into an intelligent experience engine. Own the roadmap, UI quality standards, semantic and content rules, design token architecture, code-generation workflows, automated visual QA, and adaptive interface experiments. Manage and mentor design systems specialists while partnering with systems engineers to scale high-quality, accessible, brand-aligned product experiences.

Advise French enterprise customers on deploying Claude across operations, products, and workflows. Lead technical evaluations, proofs of value, architecture design, agent design, security reviews, procurement support, and production adoption. Present business value to executive stakeholders, guide systems integration partners, conduct workshops, and provide technical advice throughout deployment. Collaborate with account, product, engineering, and applied AI teams while communicating fluently in French and English.

Build and maintain production data pipelines for AI systems, from ingestion and data capture through monitoring. Ensure data quality, privacy, anonymization, consent, retention, and GDPR compliance. Provide datasets for model training, evaluation, and annotation workflows, while developing monitoring pipelines and dashboards for AI performance. Collaborate with data platform, data science, engineering, product, and business teams to optimize scalable cloud infrastructure and manage costs.

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

Lead the Setup & Rollout engineering team owning enterprise integrations (SSO, SCIM, SIEM, audit logging) and confidential computing (AWS Nitro Enclaves). Manage and grow senior backend and web-extension engineers, drive roadmap and engineering strategy, accelerate AI/LLM adoption on secure infrastructure, collaborate with Product and Design, and improve systems, processes, and reliability to support B2B growth and enterprise deployments.

Design and run empirical experiments to find how LLM agents fail in realistic settings; build automated audit agents, fine-tune and run models, perform white-box and black-box investigations, produce evals and publish findings that feed into product guardrails.

Apprentice will design and develop AI-driven tools and analytics to transform the internal audit lifecycle, while performing hands-on AI, data and technology audits across SCOR. Responsibilities include building AI agents, dashboards, assessing governance and controls, supporting audit testing and reporting, and communicating technical insights to stakeholders in an international team.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Hands-on growth operator who designs, ships, and analyzes CRO experiments and funnels. Builds landing pages, automations, and prompt-driven AI assets, reads GA4/Amplitude data, hunts friction, and iterates rapidly to improve LTV/CAC and conversion rates.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Lead adoption and delivery of internal AI tools and workflows across functions, ship high-impact automations, coach AI champions, build scalable AI infrastructure, measure impact, and help externalize Bigblue's AI story.