Top Artificial Intelligence Jobs in France

Manage enterprise customer success for monday.com by implementing and optimizing workflows, AI capabilities, and automations. Serve as a trusted technical advisor to senior stakeholders, lead architecture reviews and governance initiatives, demonstrate business value, drive adoption and renewals, identify churn risks, and communicate customer feedback to product and engineering teams. The role requires hands-on SaaS configuration, strategic account planning, analytical problem-solving, and strong stakeholder communication.

Develop and deploy AI, LLM, and generative AI agent tools for credit trading workflows. Apply machine learning to trading signals, portfolio optimization, risk monitoring, hedging, and automated reporting. Build trade-support infrastructure, analyze credit portfolio data, collaborate with model control teams, and advance automation across credit portfolio lending markets.

Support Mirakl’s People team by coordinating learning events, tracking participation and feedback, curating learning content, creating practical resources, and supporting AI fluency initiatives. The intern will organize logistics, develop learning paths and guides, analyze assessment data, and collaborate cross-functionally. The role requires a six-month internship beginning January 2027, fluent French, professional English, strong communication, project management, data analysis, organization, and reporting skills.

Support Mirakl’s People team by coordinating learning events, tracking participation and feedback, curating learning content, creating practical resources, and supporting AI fluency initiatives. The apprentice will organize logistics, develop learning paths and guides, analyze assessment data, and collaborate cross-functionally. The role requires a 12-month apprenticeship beginning January 2027, strong communication in French and English, organizational ability, analytical skills, and interest in project management and AI.

Support the FP&A team with monthly revenue closing, management presentations, cohort analysis, commercial performance reporting, cost analysis, KPI development, and financial tool deployments. The intern will also create onboarding documentation and build AI agents to automate recurring workflows. The role requires strong Excel modeling, presentation, analytical, communication, and problem-solving skills, plus fluent French and professional English.

Own the full sales cycle for mid-market and enterprise customers in France, from prospecting and discovery through negotiation, close, adoption, and expansion. Build pipeline, manage forecasts, document buying processes, articulate GitLab’s DevSecOps and AI value, maintain customer relationships, collaborate cross-functionally, reduce churn, and travel to meet customers or attend events as needed.

Own and grow strategic and enterprise accounts in France through new customer acquisition and expansion. Lead consultative sales cycles, develop account plans, manage forecasts, generate pipeline, and coordinate pre-sales, customer success, support, marketing, and channel partners. Help customers adopt GitLab’s AI-powered DevSecOps platform and build long-term partnerships.

Lead the architecture and scaling of Datadog’s Autonomous Ops & Maintenance platform. Build reliable, fault-tolerant, horizontally scalable services for multi-tenant environments; transform technical datasets into structured knowledge; develop AI-driven components for operational workflow analysis; and automate software maintenance in mission-critical systems. Own features end to end, including reliability, observability, and operational quality, while collaborating with users and operating production services.

Support the Sales Enablement team by creating training and certification content, managing learning and content platforms, analyzing performance data and KPIs, identifying skill gaps, supporting internal communications, and organizing sales events and training programs. The role also contributes to AI-powered workflows, onboarding initiatives, and sales enablement strategy in an international environment.

Supports the CFO Office and FP&A team through strategic analysis, scenario modeling, revenue and margin analysis, financial closing activities, reconciliations, and performance reporting. The intern will also help implement AI-powered finance solutions, improve reporting tools and processes, and collaborate with cross-functional stakeholders. The role requires advanced Excel skills, strong analytical communication, fluent French, professional English, and availability for a six-month internship starting January 2027.

Support the Global Legal Privacy team with data protection policies, Data Processing Agreements, internal privacy procedures, third-party risk mapping, privacy and AI governance training materials, and monitoring of regulatory developments. The intern will help ensure compliance with applicable data protection and artificial intelligence regulations while working in an international environment.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Responsibilities include measuring agent quality, diagnosing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role is hands-on and requires production software development experience with complex tool-using AI systems.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts and models, improve quality, latency, and cost, diagnose agent failures, and partner with AI Core engineering. Manage team priorities while contributing directly to Ruby on Rails and Python code.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for AI agents. Responsibilities include designing CI/CD pipelines and scorers, diagnosing agent failures, evaluating models, optimizing cost and latency, and partnering with AI Core engineering to improve production AI quality. The role also includes team leadership and management.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. The role evaluates models, prompts, tools, and agent behavior while improving quality, latency, and cost. Responsibilities include leading technical direction, managing team priorities, coding, and partnering with AI Core engineering. Experience with production software, LLM agents, evaluation infrastructure, Ruby on Rails, Python, and ML/AI datasets is required.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering, manage priorities, and remain hands-on with implementation.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiment frameworks for production AI agents. Responsibilities include measuring agent quality, tracing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role requires substantial production software experience, AI/ML evaluation expertise, and proficiency or adaptability in Ruby on Rails and Python.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Own full-cycle recruiting for GTM and Sales teams across EMEA, from sourcing through offer close. Develop inclusive sourcing strategies, build diverse talent pipelines, advise hiring managers, structure hiring plans and evaluation processes, and deliver strong candidate experiences. Partner with Total Rewards, People Operations, and People Partners on talent strategies. Use AI tools and recruiting data to improve processes and provide market insights while adapting best practices to regional needs.

Leads end-to-end testing for large-scale SAP transformation programs, including functional, integration, SIT, regression, UAT, and production-readiness testing. Develops integrated test plans, coordinates global cross-functional teams, manages defects and dependencies, drives readiness and governance, and produces testing dashboards and risk reporting. Partners with business, technical, data, security, and deployment teams to resolve issues and meet quality gates. Applies automation, analytics, AI, and GenAI to improve testing efficiency and coverage.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Lead EMEA talent acquisition strategy and full-cycle recruiting, primarily for technology roles. Build scalable recruiting processes, employer branding, talent pipelines, and AI-powered recruiting operations using Ashby. Partner with People leadership and hiring managers on workforce planning, candidate calibration, interview design, and quality of hire. Source candidates proactively, manage the candidate experience, and potentially mentor recruiters in a fast-growing international scale-up.

Develop feasibility studies and schematic designs across residential, office, logistics, light-industrial, hospitality, retail, and mixed-use projects. Analyze zoning and planning documents, establish programmatic and capacity assumptions, review and correct AI-generated outputs, produce architectural drawings and diagrams, evaluate design scenarios, and defend project conclusions with clients. The architect will also formalize design best practices and collaborate with product, technology, and real estate teams to improve AI-powered planning tools.

Six-month Digital Services Marketing internship at Airbus focused on promoting and increasing adoption of internal Skywise digital services. Responsibilities include user research, workshops, value proposition development, multimedia internal communication campaigns, content creation, storytelling, and supporting communication needs across UX/UI, training, cloud optimization, IT monitoring, and data modeling teams. The role bridges technical Data/AI expertise with business-unit needs.