Top Artificial Intelligence Jobs in France

Lead Data, Analytics, AI, and GenAI presales activities for strategic enterprise opportunities. Facilitate discovery workshops, translate business needs into scalable architectures, lead RFP and RFI responses, and present solutions to executives. Design end-to-end AI and cloud architectures across Azure, GCP, Databricks, and open-source ecosystems. Advise on AI transformation use cases, roadmaps, governance, and implementation, while mentoring delivery teams and developing reusable frameworks, offerings, thought leadership, and customer success materials.

Develop and deploy production-ready generative AI applications using Python, LLMs, RAG, AWS Bedrock, and OpenAI APIs. Responsibilities include model customization, API integration, data preparation, performance tuning, production deployment, documentation, and cross-functional collaboration. The role focuses on applied engineering rather than research and requires experience integrating AI solutions into business applications.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

Lead Malt’s Experience Systems & AI function, evolving its design system into an intelligent experience engine. Own the roadmap, UI quality standards, semantic and content rules, design token architecture, code-generation workflows, automated visual QA, and adaptive interface experiments. Manage and mentor design systems specialists while partnering with systems engineers to scale high-quality, accessible, brand-aligned product experiences.

Build and maintain production data pipelines for AI systems, from ingestion and data capture through monitoring. Ensure data quality, privacy, anonymization, consent, retention, and GDPR compliance. Provide datasets for model training, evaluation, and annotation workflows, while developing monitoring pipelines and dashboards for AI performance. Collaborate with data platform, data science, engineering, product, and business teams to optimize scalable cloud infrastructure and manage costs.

Lead the Setup & Rollout engineering team owning enterprise integrations (SSO, SCIM, SIEM, audit logging) and confidential computing (AWS Nitro Enclaves). Manage and grow senior backend and web-extension engineers, drive roadmap and engineering strategy, accelerate AI/LLM adoption on secure infrastructure, collaborate with Product and Design, and improve systems, processes, and reliability to support B2B growth and enterprise deployments.

Build and productionize compliant generative AI solutions for customs operations, including document understanding, classification, retrieval, structured extraction, and agentic workflows. Own evaluation, monitoring, cost control, pilots, and production outcomes. Collaborate with operations, IT, transformation, legal, security, and technology partners while supporting AI governance and EU AI Act compliance. The role requires strong Python and SQL, backend engineering, cloud AI platform experience, production LLM integration, and effective communication with non-technical customs experts.

Develop a reference integration platform combining PCIe Design IP, PCIe AVIP, virtual platforms, RTL, and AXI bridges. Support PCIe bring-up, software enumeration, validation, debug, and performance analysis across Xcelium, Palladium, and Protium. Explore AI-assisted RTL generation, connection verification, assertions, debug, and extensions involving Virtual Bridge, SpeedBridge, and other high-speed protocols.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Design and run empirical experiments to find how LLM agents fail in realistic settings; build automated audit agents, fine-tune and run models, perform white-box and black-box investigations, produce evals and publish findings that feed into product guardrails.

Apprentice will design and develop AI-driven tools and analytics to transform the internal audit lifecycle, while performing hands-on AI, data and technology audits across SCOR. Responsibilities include building AI agents, dashboards, assessing governance and controls, supporting audit testing and reporting, and communicating technical insights to stakeholders in an international team.

As a Customer Support Expert, you will provide customer support via social media and email, representing brands and resolving requests professionally.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Hands-on growth operator who designs, ships, and analyzes CRO experiments and funnels. Builds landing pages, automations, and prompt-driven AI assets, reads GA4/Amplitude data, hunts friction, and iterates rapidly to improve LTV/CAC and conversion rates.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Lead research and development of AI accelerator/NPU IPs for embedded products. Architect RTL and hardware to meet power/performance/area targets, collaborate with compiler and software teams, model systems, and mentor cross-functional teams toward chip tape-out.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Lead adoption and delivery of internal AI tools and workflows across functions, ship high-impact automations, coach AI champions, build scalable AI infrastructure, measure impact, and help externalize Bigblue's AI story.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Own and scale Gladia’s brand across its website, marketing assets, decks, video, and internal products. Design and maintain the hand-coded Next.js website using Cursor and Vercel, extend the visual identity into new formats, contribute to internal product design, deliver creative quickly, use AI tools, and independently manage agencies and freelancers.

Own technical delivery of Pigment’s solver pilot program and build production-grade optimization capabilities. Formulate supply chain optimization models, configure customer pilots, develop Python models with third-party solvers, benchmark results, support implementations, and collaborate with Engineering, Data Science, and solver vendors on production integration.

Designs and deploys enterprise AI-ready data platforms, data lakes, lakehouses, warehouses, pipelines, integrations, and sovereign data spaces. Works directly with customers to assess data ecosystems, identify AI opportunities, define transformation roadmaps, and deliver production-ready solutions and proofs of value. Requires strong expertise in distributed data systems, AI architectures, interoperability standards, cloud technologies, automation, CI/CD, DataOps/MLOps, security, governance, and consulting.

Own the vision, roadmap, and delivery of Implicity’s internal software ecosystem. Lead the back-office platform revamp, define agentic AI tools using Claude, MCP, and LLM applications, scale N8N automation workflows, and drive employee adoption. Conduct cross-functional discovery, translate operational needs into prioritized product initiatives, establish quarterly OKRs, and measure productivity impact across Engineering, Operations, Sales, Clinical, Regulatory, Customer Success, and Data teams.