Top Artificial Intelligence Jobs in France

Lead AI transformation for the Sales and Go-to-Market function by identifying high-value opportunities, building business cases, prototyping AI agents, measuring ROI, enabling teams, and driving adoption. The role bridges business teams and the central AI organization, maintains an approved AI tools catalogue, captures reusable prompts and patterns, and supports change management across a decentralized international organization.

Lead The Economist AI Lab’s product and engineering strategy across the full 0-to-1 lifecycle. Set the innovation roadmap, lead a multidisciplinary product, design, and engineering team, guide customer discovery and validation, shape architecture and build-versus-buy decisions, and oversee AI-powered product development from prototypes through production. Partner with editorial, platform, data, and commercial teams while maintaining high standards for reliability, provenance, quality, and editorial independence.

Supports pre-sales services opportunities from inception through close by translating customer needs into tailored Cisco solution proposals. Partners with Sales and Solution Development Architects on lifecycle and transformational opportunities, RFPs, RFIs, presentations, and business development. Builds trusted relationships with technical and business stakeholders while developing expertise in Cisco technologies, enterprise infrastructure, cloud, security, networking, and AI. Requires strong communication, consultative, presentation, collaboration, and ownership skills.

Design user experiences for an agentic AI platform used by large organizations. Responsibilities include user research, UX/UI and interaction design, prototyping, user testing, A/B testing, impact measurement, roadmap shaping, and collaboration with product, engineering, and research teams. The role focuses on making complex AI workflows understandable, trustworthy, and intuitive while contributing to design systems and exploring code and AI-assisted design workflows.

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.

Designs end-to-end architectures for digital products and platforms, translating business requirements into scalable technical solutions. Responsibilities include creating architecture artifacts and process maps, defining API and enterprise integration strategies, evaluating technologies, supporting AI and analytics initiatives, and guiding implementation teams. The role partners with product and engineering stakeholders while addressing scalability, security, governance, reliability, and operational supportability.

Lead digital transformation, data analytics, automation, and work-preparation improvement projects for Airbus manufacturing engineering. Responsibilities include deploying unified platforms, defining data strategies and products, automating processes with RPA, machine learning, and AI, ensuring data consistency and export-control compliance, and supporting change management across plants and transnational teams.

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.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Own the digital recruiting and onboarding process across SmartRecruiters, AssessFirst, and SAP SuccessFactors. Lead needs analysis, backlog and roadmap prioritization, change requests, testing, release sign-off, reporting, adoption communications, and process documentation. Ensure clean data integration into Core HR and contribute to AI-driven preboarding and onboarding initiatives. Partner with hotels, regions, talent acquisition teams, and HR technology stakeholders across a distributed international organization.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Develop and operate AI-powered offensive security tools and agentic workflows for continuous attack-surface discovery, code analysis, vulnerability validation, and remediation tracking. Responsibilities include designing guardrails, maintaining CI/CD pipelines, monitoring workflow reliability, triaging false positives, diagnosing agent drift, restoring systems, collaborating with developers and CISOs, and shaping future offensive security capabilities.

Own the roadmap for a core AI-powered cybersecurity platform area spanning investigations, threat detection, and response. Conduct customer discovery with SOC teams, define product requirements and prioritization, lead an engineering squad, and measure AI investigation quality and trust. Partner with engineering, sales, and customer success to launch features, drive adoption, and shape platform strategy in a B2B SaaS environment.

Own product design for detection engineering and exposure management in a cybersecurity AI platform. Responsibilities include user research with SOC experts, designing trustworthy AI workflows, clarifying dense security data, creating prototypes in code, and contributing to the design system. The role partners closely with product and engineering teams to deliver complex B2B SaaS experiences for security professionals.

Senior Data Scientist responsible for delivering data science and machine learning solutions using Databricks. The role involves translating business requirements into effective data-driven solutions, collaborating directly with French-speaking clients and technology teams, and owning projects through successful delivery. Strong analytical, communication, stakeholder management, French and English language skills are required. The position offers flexible hybrid work on AI, generative AI and data projects in an international environment.

Leads NVIDIA’s EMEA public-sector AI business development strategy, collaborating with sales, marketing, solution architects, developer relations, and partners. Responsibilities include sales enablement, account planning, pipeline and revenue growth, customer engagement, opportunity reviews, government lighthouse-account development, partner coordination, case studies, and AI platform adoption. The role also mentors developer relations teams and communicates technical AI value to government customers and stakeholders.

Lead technical engagement with major AI model builders, integrating NVIDIA GPUs, DGX systems, networking, CUDA-X libraries, NeMo, and TensorRT into large-scale training and inference pipelines. Build strategic technical partnerships, optimize model architectures and infrastructure, influence NVIDIA product roadmaps, communicate with senior engineering and research leaders, and promote scalable generative AI best practices.

Build and scale low-latency AI serving infrastructure for SLMs, prompt-injection engines, and classification services. Architect GPU-accelerated inference pipelines, backend microservices, Kubernetes clusters, rate limiting, tenant guardrails, monitoring, and autoscaling systems. Develop continuous evaluation, retraining, model CI/CD, regression gates, and MLOps/LLMOps pipelines while improving service reliability, latency, cost efficiency, and detection quality.

Leads the scientific, strategic, regulatory, and operational development of laboratory- and genomic-enabled composite and companion measures. Oversees integration of clinical outcome assessments, digital measures, laboratory data, genomic data, and emerging technologies into validated solutions for clinical trials, real-world research, and patient care. Responsibilities include research design, validation, regulatory alignment, publications, partnerships, commercialization, budgeting, quality programs, and leadership of a multidisciplinary team.

Own the production architecture of an AI-assisted KYC and customer due diligence platform across Azure and Databricks. Responsibilities include designing networking, identity, environments, integrations, resilience, monitoring, backup and rollback; defining operating models and support processes; planning service transition; and representing the solution to architecture boards and senior stakeholders.

Design and maintain scalable cloud data pipelines, data models, ETL/ELT processes, data warehouses, ingestion workflows, and machine learning data workflows. Ensure data quality, governance, monitoring, and pipeline reliability while collaborating with business and technical stakeholders. Apply engineering best practices including CI/CD, containerized deployments, infrastructure as code, code reviews, and technical documentation. The role also requires strong SQL, Python, cloud, orchestration, and LLM experience.

Design and maintain scalable cloud data pipelines, data models, ETL processes, machine learning workflows, and data governance practices. Translate business needs into technical solutions, ensure data quality and observability, automate monitoring, and promote engineering standards including CI/CD, containerization, and code reviews. Mentor team members and collaborate with international technical and business stakeholders in a biopharmaceutical digital transformation environment.

Designs enterprise Salesforce Data 360, Agentforce, Voice AI, and Financial Services CRM architectures for banking, capital markets, and insurance clients. Leads data modeling, ingestion, identity resolution, segmentation, activation, integrations, governance, pre-sales solutioning, design reviews, and technical risk management. Mentors architects and analysts, guides delivery quality, develops reusable architecture patterns, and supports multi-year consulting programs.