Top Artificial Intelligence Jobs in Paris

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

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.

The Chief Data & AI Officer will strategize and implement data and AI initiatives to drive business growth and operational efficiency across Pluxee globally. Responsibilities include fostering a data-driven culture, leading data governance, ensuring compliance, and promoting the adoption of AI and advanced analytics.

Lead the support function by building AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Split time between running escalations, investigating complex issues across logs and code, and hiring and developing support engineers. Own the "Support as a Product" backlog and drive product improvements from customer signal to engineering execution.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.

Lead enterprise strategy and execution for agentic and generative AI at Sanofi. Own reusable AI/data components and two flagship platforms, drive adoption and impact, prevent duplication, run rapid proofs-of-concept, and ensure secure, compliant, and responsible AI at scale while influencing senior stakeholders.

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.

The AI Legal Specialist will manage legal compliance on AI and e-commerce regulations, particularly focusing on data protection laws, contract assessments, and legal documentation.

Join the Compliance team to own AI and e-commerce legal workflows: GDPR and data protection documentation, AI systems inventory, risk assessments, product/feature reviews, contract and IP issue handling, TOS/privacy updates, and monitoring legal developments. Work with the Ethics & Compliance Officer and review uncensored AI content as needed.

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.

Lead enterprise deployments and enablement for Dust customers: define goals, design persona-specific training, build scalable enablement programs and content, monitor adoption, remove blockers, partner with Sales/Product, and establish repeatable best practices for AI adoption and scaling.

Lead AI-enabled transformation for insurance clients by mapping and redesigning workflows, capturing expert knowledge, co-designing AI solutions, prototyping with enterprise AI tools (LLMs, RAG, agents), and enabling scalable implementation through workshops, proposals, and handoffs to engineering teams.

Evaluate and test AI chatbots and language models in French via structured written and voice interactions. Provide ratings, write-ups, screenshots or audio recordings per task SOWs, pass language and technical assessments, and complete identity verification. Work is freelance, task-based, remote, and paid hourly.

Design, implement, and deploy AI solutions using LLMs, RAG, and AI agents. Identify AI use cases, evaluate risks and limitations, support digital and data strategy, and collaborate with teams to deliver production-ready solutions.

Lead and grow a Data & AI engineering team to design, build, operate, and optimize production data pipelines, models and platforms (AWS/Snowflake). Ensure compliance (GxP, privacy), cost optimization, automation, cross-team collaboration, and mentorship while working in an Agile product environment.

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

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

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.

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.

Join a 7-person AI team to design, develop, and deploy autonomous attack-investigation features using LLMs. Build agent pipelines, evaluate foundation models, create an evaluation framework, industrialize code (testing, packaging, CI/CD), and integrate and monitor solutions in production. Opportunity to work on ML/DL or data engineering projects.