Top Artificial Intelligence Jobs in France

Future Business Development Representative opportunities at Mirakl involve researching enterprise prospects, identifying decision-makers, crafting targeted outreach, and partnering with Enterprise Account Executives on prospecting strategies. Representatives share outbound best practices, use AI to improve efficiency and commercial insight, and develop foundations for advancement into sales or other departments. Candidates should have strong communication and presentation skills, a growth mindset, and willingness to work onsite four days weekly in Boston. This is a talent-pool posting, not an active opening.

Partners with sales, engineering, product, and prospective clients to lead technical discovery, demonstrations, proof-of-concepts, workshops, RFP responses, solution design, architecture documentation, and sales-cycle technical support. Translates customer requirements into scalable solutions, advises stakeholders on feasibility and security, influences product roadmaps, and supports transitions from pre-sales to implementation.

Lead and coach a team of Outcomes Architects responsible for workflow adoption, value realization, renewals, expansion, and at-risk account recovery. Build operating cadences, inspect customer and commercial outcomes, hire and develop team members, manage performance, and partner with Sales, Solutions Consulting, Services, Support, Product, and RevOps. Ensure strong workflow, product, AI, and customer-outcome execution across the team.

Develop new business opportunities with hospitals, university hospitals, healthcare groups, regional health agencies, and other healthcare organizations across France. Understand strategic and operational needs, build relationships with senior decision-makers, and collaborate with technical teams on innovative proposals. Promote InterSystems HealthShare, TrakCare, and IRIS for Health solutions covering interoperability, electronic medical records, healthcare data platforms, and artificial intelligence.

Drive net-new enterprise sales among AI-native startups in Paris. Build executive relationships with founders, venture capitalists, developers, and technical leaders; create data-driven go-to-market strategies; manage complex, multi-stakeholder sales cycles; develop partnerships; articulate MongoDB’s technical and business value; and exceed revenue quotas within an assigned territory.

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.

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.

Leads Genesys’ business use case and commercial offer portfolio from ideation through maturity. Develops customer value propositions, business cases, technical use-case definitions, and measurable value models for AI, CCaaS, and Experience Orchestration solutions. Coordinates product, engineering, sales, marketing, customer success, and operations stakeholders; supports customer conversations; identifies portfolio gaps and adoption opportunities; and feeds implementation friction into the product roadmap. Travel may reach 50%.

Lead Trustpair’s global Fraud Operations function and approximately 30 employees across internal and BPO teams. Own operational strategy, metrics, quality controls, process improvement, automation, AI use cases, and capacity planning. Develop vendor-payment-fraud expertise and translate frontline insights into product and detection-model improvements. Manage external partnerships and collaborate with Product, Engineering, Customer Success, Care, and Sales, while supporting high-stakes client situations.

Leads and grows an engineering team building AI-powered developer tools. Owns technical direction, architecture, hiring, career development, roadmap shaping, delivery execution, service quality, and operational ownership. Partners with Product and Design to turn ambiguous early-stage product problems into shippable solutions while improving developer cycle time, correctness, reliability, and developer experience.

Advise clients on creating and capturing value from AI and data. Define enterprise and function-specific strategies, assess maturity, develop AI platform blueprints, operating models, business cases, investment roadmaps, and Responsible AI plans. Lead large-scale transformation workstreams, engage senior stakeholders, identify people, process, and technology needs, and create AI-first product commercialization opportunities. Support deal origination, go-to-market activities, and team leadership.

Owns Veesion’s indirect partner channel and mid-market revenue globally. Responsibilities include scaling strategic resellers, distributors, and integrators; building chain, franchise, and co-op pipelines; personally closing major enterprise deals; recruiting and managing multilingual commercial teams; enforcing direct and indirect sales rules; overseeing partner tiering, MDF, co-marketing, attribution, and deal registration; and coordinating with Product, Customer Success, Installation, Support, and RevOps to ensure scalable deployment quality.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

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.

Embeds with Accenture strategic account teams to identify, develop, and close enterprise LearnVantage workforce transformation opportunities. Builds relationships with account leaders and C-suite clients, presents value-based business cases, designs AI, data, cloud, networking, and certification solutions, manages pipeline and forecasting, navigates commercial processes, and expands engagements into multi-year partnerships. Travel to client sites and Accenture offices is estimated at 30–50%.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Design and improve mobile health coaching experiences focused on behavior change, AI-generated coaching, gamification, and user engagement. Collaborate cross-functionally to develop innovative UI/UX solutions, using user psychology, UX research, data analytics, and rapid experimentation to inform decisions. Generate and present original design hypotheses, validate solutions, and improve customer journeys, motivation, habits, and long-term loyalty.

Lead go-to-market sales strategy and execution for Financial Services, driving revenue, AI-driven digital transformation, partner orchestration, and long-term customer value. Coach and develop managers and teams, build executive and partner relationships, manage business planning and sales execution, and ensure secure, compliant delivery of solutions.

Provides strategic legal support across intellectual property, IT, technology transactions, commercial contracts, privacy, cybersecurity, and digital transformation. Drafts and negotiates international agreements, manages IP protection and disputes, advises stakeholders on legal risks, supports compliance and governance, monitors regulatory developments, and delivers internal training. The role requires strong commercial judgment, communication, negotiation, and stakeholder management in an international environment.

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

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.

Edit, proofread, and rewrite AI-generated French and English content across courses, websites, emails, and acquisition funnels. Develop conversational conversion copy, tune AI prompts and content-generation workflows, define the product’s bilingual tone of voice, and collaborate with design and engineering. The role requires strong autonomy, user empathy, product sense, editorial rigor, and iterative optimization based on conversion results.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Leads AI and data transformation strategies for Finance organizations, partnering with CFOs and senior leaders to define visions, assess maturity, develop ROI cases, design operating models and roadmaps, sequence delivery, embed Responsible AI, and identify commercialization opportunities. The role manages complex global workstreams, builds client relationships, develops ecosystem partnerships, and drives strategies from initial vision through implementation and measurable business impact.

Manage compliant employee exits across international jurisdictions and provide first-level employee relations support. Advise clients on terminations, resignations, redundancies, disciplinary processes, and workplace concerns; lead difficult conversations, consultations, hearings, and negotiations; coordinate with legal, payroll, government, unions, and internal teams; maintain accurate confidential records; monitor cases; and improve offboarding processes through automation, AI, and operational enhancements.