Top Artificial Intelligence Jobs in France

Supports Finance Technology initiatives involving AI use cases, AI solution development, data integration, process automation, reporting, analytics, and enterprise system transformation. The apprentice assists with proofs of concept, data flow monitoring, testing, documentation, deployment, and data quality improvements while collaborating with Finance, Technology, Data, and Business teams.

Leads executive cybersecurity engagements for Automotive and Mobility accounts, driving complex Microsoft Security sales opportunities from strategy through closure. Advises CISOs, CIOs, and CTOs on AI adoption, cloud transformation, data protection, compliance, resilience, and SOC modernization. Builds strategic account plans, manages pipeline and forecasts, orchestrates cross-functional teams, positions Microsoft’s security portfolio, and drives post-sale adoption and measurable customer outcomes.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Analyze direct marketing campaign results, support sales and marketing teams with data-driven recommendations, conduct statistical studies involving segmentation and scoring, and develop automation projects and Power BI dashboards. The role requires working with high-volume databases, SQL, Python, cloud platforms, and AI/ML techniques while communicating findings to French, Italian, and English-speaking stakeholders.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Develop and execute ecosystem and program marketing strategies, including market analysis, research, promotional plans, budgets, value propositions, and product launches. Build relationships with healthcare system customers and collaborate with internal marketing, sales, and business teams. Lead cross-functional alignment across countries and functions, with a focus on AI-driven healthcare technologies, cardiology, cardiac rhythm management, digital marketing, and channel strategy.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

Leads consultative discovery, technical qualification, solution design, executive presentations, and sales campaigns for AspenTech industrial software. Partners with sales teams to align technology with measurable customer value, develops industry-specific messaging, engages senior executives, provides product feedback, coaches sales personnel, and represents the company at industry events. Requires extensive industrial software or solution consulting experience, technical domain expertise, multilingual fluency, and European work authorization.

Drive revenue and adoption of Zendesk’s AI products within a defined territory. Own sales quotas, prospect, conduct tailored demonstrations, support proof-of-concepts, and close new and expansion business. Partner with account executives, customer success, and regional leadership to develop sales strategies, identify cross-sell opportunities, model commercial value, and maximize automation-related revenue. Serve as an AI subject matter expert, enable sales teams, and communicate product updates and market insights.

Manage key digital-native accounts in France, driving enterprise AI opportunities from pipeline generation through deployment and revenue realization. Develop account strategies, lead complex deal cycles, forecast consumption revenue, engage C-level stakeholders, and collaborate with solutions, engineering, marketing, finance, and product teams. Analyze market and account data, support customer events, contribute to product strategy, and help recruit and onboard teammates.

Own and improve cashback offer operations across merchant setup, affiliate tracking, coupons, card-linked integrations, gift cards, and merchant performance. Analyze operational data, build health dashboards, investigate failures, design scalable processes, automate repetitive work with AI and Retool, manage outsourced resources, and collaborate with Product, Engineering, and commercial teams to resolve issues and improve reliability.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Leads high-value consulting engagements for major manufacturing accounts, shaping strategic change agendas across business and IT. Builds CXO relationships, drives business development, revenue, margins, and customer satisfaction, and oversees complex multidisciplinary delivery. The role also develops consulting talent, advances innovation, contributes to corporate strategy, and establishes thought leadership in manufacturing and technology transformation.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Build Brevo OS, an AI-native operating system for small businesses. Translate business needs into products, define users and data models, extend platform primitives, and ship production features. Work across product, frontend, backend, infrastructure, data modeling, and AI, primarily through coding agents. Decompose problems for agents, review generated code, maintain quality through testing and instrumentation, and improve systems in production.

Lead media relations and communications for France and Southern Europe, promoting NVIDIA’s perspective on AI, technology, government affairs, and regulatory issues. Engage reporters, commentators, policymakers, and regulators; develop messaging, briefings, positioning, and communication plans; coordinate executive and media engagements; and collaborate with government affairs, legal, and product teams. Manage multiple fast-moving priorities under tight deadlines while supporting public policy communications.

Build end-to-end data solutions for the U.S. Space Force’s PNT SE&I team using Palantir Foundry. Responsibilities include gathering requirements, developing applications and reports, transforming and modeling data, integrating REST APIs and enterprise systems, optimizing pipelines and datasets, and providing technical support, documentation, and training. The role is onsite in El Segundo and requires an active Secret clearance plus extensive related experience.

Lead pharmacovigilance domain expertise for Veeva Falcon by guiding safety case workflows, evaluating AI-driven outputs, shaping PV automation strategy, engaging early adopters, and designing complex stress-test scenarios. The role bridges hands-on drug safety operations with product and engineering teams to improve platform accuracy, compliance, and customer value.

Legal Counsel supporting commercial contracts and AI-related service agreements, negotiating with customers, suppliers, and partners, and advising on AI regulation, data privacy, intellectual property, liability, and compliance. The role collaborates with technical and business teams, adapts contracts to evolving legal requirements, and provides broader legal support across corporate, labor, and competition matters.

Supports AI Week Hackathon initiatives from concept through pilot execution by coordinating cross-functional workstreams, tracking milestones and risks, preparing 30/60/90-day plans and executive updates, facilitating stakeholder sessions, developing AI communications and training materials, monitoring emerging technologies, and promoting responsible AI practices.

Owns governance, adoption, and continuous improvement of DATA4’s operational management tool across France. Leads process automation, digital transformation, AI use-case adoption, user training, change management, data quality, requirements gathering, reporting, and cross-functional initiatives involving Operations, Digital, Data, and global stakeholders.

Leads complex Kinaxis RapidResponse supply chain software implementations for customers. Responsibilities include requirements discovery, process design, advanced configuration, troubleshooting, testing, deployment workshops, customer training, and applying optimization and AI techniques to supply chain planning. Provides functional leadership, mentors junior consultants, and advises customers on forecasting, MRP, constraint management, production scheduling, and manufacturing planning.