Top Artificial Intelligence Jobs in France

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.

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.

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.

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.

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.

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.

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.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Drive new business in Italy for MyTraffic by owning full sales cycles for Gini, prospecting outbound and inbound, engaging stakeholders, closing SMB and mid-market deals across Retail, Real Estate, and EV sectors, and identifying upsell opportunities while representing the company at industry events.

Sell Gini, an AI-powered location intelligence SaaS, across France. Own full sales cycle from prospecting to closing for SMB and mid-market, run demos and business cases, pursue upsell/cross-sell with Customer Success, and represent MyTraffic at industry events to grow market presence.

Lead full sales cycle for Gini, an AI-powered location intelligence solution across UK, Nordics, and Germany. Generate pipeline via outbound/inbound, demo product value to stakeholders, close SMB and mid-market deals, and drive upsell alongside Customer Success while representing MyTraffic at industry events.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Serve as a pre-sales applied AI architect partnering with GSIs and cloud providers (AWS/GCP) to develop joint GenAI solutions, codify reference architectures, support strategic customer deals, enable partner developer communities, and provide product feedback to inform roadmap and partner strategy.

Lead and build the marketing operations and agentic AI layer: define production standards for AI agents, deliver production-grade agents for lead scoring/enrichment/prospection/attribution, own martech stack and vendor decisions, report business outcomes to execs and board, hire and run a marketing engineering team, and cut tool costs while ensuring measurable revenue impact.

Perform human review and annotation tasks to train and evaluate AI: generate or assess content, correct text, analyze multimedia, provide voice recordings, and deliver structured annotations consistent with guidelines and cultural context.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.