Top Artificial Intelligence Jobs in Paris

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.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Leads AI architecture and governance at enterprise scale, defining technical strategies, policies, and scalable production-grade AI solutions. Oversees data and knowledge management across structured, unstructured, semantic data, and knowledge graphs. Drives advanced algorithms, computational efficiency, risk mitigation, and technical roadmaps while supporting business value streams. Provides architectural leadership, cross-functional guidance, mentoring, and coaching to engineers and technical communities.

Build, deploy, and operate production AI agents and multi-agent systems. Own end-to-end delivery including agent development, CI/CD, infrastructure, monitoring, evaluations, regression testing, context engineering, and production debugging. Partner with CX, RevOps, and Data teams to identify needs, ship solutions rapidly, and shape the agent platform architecture. The role requires a pragmatic whole-system thinker with production engineering, DevOps, LLM, prompt engineering, and evaluation experience.

Lead growth across strategic client accounts, targeting 15%+ year-over-year revenue expansion. Engage CIOs, CTOs, CDOs, and business leaders to position Nagarro as an AI transformation partner, shape executive agendas, expand service offerings, manage procurement and legal negotiations, build business cases, and secure client testimonials. Collaborate with engineering, AI advisors, and capability teams to deliver account strategies and achieve revenue goals.

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.

Review and annotate short video and audio clips for AI training and evaluation. Assess AI-generated descriptions for accuracy, relevance, and appropriateness; flag potentially inappropriate or ambiguous content; provide concise feedback; and maintain consistent annotation quality while following confidentiality, data protection, and moderation guidelines in a remote 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.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Build and automate technical art pipelines for AI-generated 2D and 3D assets across mobile games. Responsibilities include defining asset standards, creating Maya and Unity validation tools, optimizing meshes and textures, integrating AI generation tools, scaling animated promotional assets, debugging graphics and performance issues, and documenting workflows. The role requires strong Unity, C# scripting, Maya, Python or MEL, mobile optimization, and AI-assisted art production experience.

Own the applied science direction for GenSim, Datadog’s generative simulation environment for training and evaluating AI agents. Define methodology and quality metrics for post-training data, improve simulation realism and failure difficulty, and develop scalable production systems integrated into training loops. Lead LLM and agent evaluation approaches, determine how synthetic data should be applied, and collaborate across engineering and applied science teams.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Create AI-powered content systems, prompt libraries, templates, social posts, articles, employer-branding materials, presentations, and game creatives. Monitor social and AI trends, identify content opportunities, and improve how Homa communicates internally and externally. The six-month Paris-based internship requires strong writing, design instincts, daily AI usage, content creation experience, fluent English, proactive ownership, and an internship agreement.

Own the French enterprise territory, generate pipeline, manage complex cybersecurity SaaS sales cycles, run executive demos and technical validations with Sales Engineers, co-sell with channel partners, negotiate six- to seven-figure contracts, forecast accurately, and provide market feedback. Requires proven enterprise quota attainment, cybersecurity or AI infrastructure sales experience, French-market relationships, structured sales methodology expertise, and fluent French and English.

Own part of the product roadmap for an AI-native healthcare platform, from customer discovery through delivery and iteration. Work directly with hospital stakeholders to understand workflows, translate needs into product specifications, prioritize features, partner with engineering, define success metrics, and incorporate sales and operations insights. The role requires hands-on ownership in a founding startup environment, with a focus on reducing hospital administrative burden and improving operational and revenue outcomes.

Own and expand strategic enterprise accounts in France by identifying new opportunities, building executive relationships, developing account plans, selling Databricks’ cloud-based data and AI solutions, and closing high-value deals. The role requires hunting greenfield opportunities, navigating complex enterprise sales cycles, partnering with internal teams, and demonstrating measurable customer ROI. Fluency in French and English is essential.

Leads end-to-end Data, Analytics, and AI projects across business domains, from scoping and planning through delivery, adoption, and operational handover. Coordinates business, data, technology, security, compliance, and external partner teams while managing scope, budgets, timelines, risks, governance, requirements, and stakeholder communications. Ensures solutions meet business, data quality, privacy, security, and compliance expectations and contributes to improved project delivery standards.

Build and manage Dust’s European solution partner ecosystem, focusing on digital transformation agencies and AI consultants. Responsibilities include sourcing and recruiting partners through outbound outreach, qualifying opportunities, shaping partner propositions, delivering onboarding and product training, accelerating first deals, conducting business reviews, managing partner performance, and supporting live sales cycles. The role directly drives partner-led revenue and requires strong relationship-building, enablement, communication, and entrepreneurial skills.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Develop and maintain conversational AI applications on the Omilia Cloud Platform. Build conversational dialogs, business logic, miniApps, NLU models, and backend integrations; perform unit testing, troubleshoot defects, analyze logs, document implementations, and deploy applications across development, UAT, and production environments. The role also involves customer requirements gathering, feature ownership, sprint participation, technical risk identification, and mentoring or task coordination.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.