Top Artificial Intelligence Jobs in France

Build and optimize distributed ML training infrastructure for humanoid robot foundation models across thousands of GPUs. Responsibilities include large-scale pretraining, RL and post-training systems, GPU and memory optimization, accelerated kernels, data movement, numerical debugging, deterministic execution, checkpointing, fault tolerance, observability, and reproducibility. The role partners closely with AI researchers to convert experimental code into reliable, scalable training systems.

Provides strategic legal counsel to the Tagetik business unit in France, handling complex software transactions, services agreements, partnerships, vendors, and consulting arrangements. Advises business, product, engineering, and technology leaders on software, data, AI-enabled products, emerging AI regulations, and responsible AI frameworks. Requires strong drafting, negotiation, legal analysis, stakeholder influence, and change management skills, plus French and English fluency and willingness to travel.

Manages revenue excellence initiatives focused on process optimization, standardization, technology adoption, and AI-powered revenue management tools. Partners with revenue, commercial, finance, digital, and technology teams to design, deploy, and improve AI-assisted workflows. Drives change management, revenue culture transformation, data-driven decision-making, and adoption of global revenue processes across hotel operations.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Own Mendo’s AI roadmap and technical direction while remaining hands-on with model training, fine-tuning, evaluation, RAG, embeddings, MLOps, and production operations. Establish AI quality and engineering standards across squads, optimize cost, latency, and performance, mentor engineers, and help grow the AI practice. The role focuses on proprietary on-device language models, production AI features, and enterprise-scale GenAI systems.

Leads global go-to-market strategy and commercial execution for IFS’s AI Optimization portfolio, including PSO, MSO, and WISE. Owns portfolio positioning, proposition development, sales plays, pipeline growth, strategic deal support, and revenue enablement. Partners with Product, Sales, Marketing, Customer Success, and Partner teams to improve market penetration, win rates, forecasting, and customer adoption while translating complex AI and optimization capabilities into compelling commercial narratives.

Build and operate Python backend services and AI-agent pipelines that crawl, process, validate, and index legal documents. Design retry-safe workflows, APIs, database schemas, migrations, lineage tracking, evaluation gates, and observability. Collaborate with legal experts and engineering teams to onboard new data sources, improve extraction quality, control processing costs, and resolve production failures.

Leads business, product, technology, data, and AI transformation engagements from initial framing through execution. Manages senior client relationships, facilitates workshops, structures workstreams, develops transformation roadmaps, oversees delivery, resources, risks, and quality, and contributes to proposals and business development. The role also coaches consultants and digital experts, supports methodology development, and helps grow the firm's transformation offering.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead enterprise AI adoption by coordinating training, enablement, change initiatives, governance, compliance, demand management, and delivery oversight. Manage the AI project portfolio, business cases, roadmaps, risks, stakeholder alignment, and communication across business, technology, risk, legal, and architecture teams. Accelerate responsible scaling of AI solutions across markets while translating complex AI concepts into practical business value and supporting user adoption.

Owns the full sales cycle for strategic Global 500 accounts, from pipeline creation and account mapping through proof-of-concept leadership, executive relationship development, negotiations, and closing. The role requires self-sourced cybersecurity opportunities, partner collaboration, complex solution selling, and strong engagement with senior decision-makers. It also involves coordinating multidisciplinary teams, maintaining strategic account plans, and expanding customer and partner relationships.

Build and deploy AI-enabled QA automation for Unity games, maintain TeamCity build pipelines and infrastructure, onboard games and tools, and improve testing reliability, scalability, and cost efficiency. The role explores AI-driven testing approaches, measures impact, and drives adoption across developers, QA teams, studios, and mobile teams.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Own end-to-end product design for MEDvidi’s AI Track, creating human-AI interaction patterns for clinical tools such as AI Scribe, Chart Review, and AI Receptionist. Gather requirements independently, research provider needs, prototype directly in code using Claude Code or Cursor, collaborate with product and engineering, contribute reusable Storybook components and design-system documentation, validate designs, and guide solutions through release.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Own the Military Solutions product vertical from strategy through field deployment. Define roadmaps, translate military requirements into robust products, and work directly with armed forces, intelligence organizations, operators, and command posts. Lead cross-functional execution across software, AI, hardware, sensors, connectivity, and integrations, while prioritizing reliability, security, deployability, and performance in challenging environments. Regularly participate in field tests and operational deployments across Europe and Ukraine.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Drives partner-led growth for FICO software by managing strategic relationships with international payment processors, acquirers, and networks. Develops joint business plans, engages C-suite executives, identifies and closes complex SaaS opportunities, manages channel sales pipelines, coordinates internal virtual teams, and leads co-marketing and co-selling initiatives. Requires deep financial services knowledge, consultative selling expertise, executive relationship management, and significant worldwide travel.

Develops data analytics, data science, and AI solutions for internal audit, including pipelines, automations, APIs, machine-learning analyses, and reusable tools. Translates audit and risk questions into reliable, evidence-based insights; strengthens data governance and code quality; and trains auditors through coaching and bootcamps. The role also drives the internal audit data and AI roadmap, supports technology innovation, and collaborates internationally across Ayvens and Societe Generale.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

Support enterprise client implementations by configuring and testing AI agents, defining candidate journeys, monitoring implementation impact, optimizing processes in ClickUp, and coordinating with internal teams and clients. The role involves analyzing test results, improving workflows, supporting change management, and contributing to strategic implementation projects across global markets.

Create AI-generated photorealistic elements and integrate them into production composites with live-action plates and CG. Develop generative templates, maintain workflows, prepare training datasets, evaluate emerging AI tools, and deliver high-quality face-swap and VFX composites. Collaborate with VFX supervisors, production, pipeline, and TD teams while meeting studio standards, deadlines, security requirements, confidentiality obligations, and legal and ethical guidelines.

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.

Fine-tune and post-train open-weight LLMs using methods such as SFT, LoRA, QLoRA, DPO, and GRPO. Build training data and evaluations, diagnose model failures, improve personalization and multilingual behavior, accelerate reproducible training workflows, and deploy models to production. The role involves using real user behavior to guide iterations across a large-scale AI companionship platform, with collaboration across AI, product, web, DevOps, and leadership teams.