Top Artificial Intelligence Jobs in Paris

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Manage and prosecute a global patent portfolio in wireless and video technologies; prepare and file EP/US/PCT and related applications; collaborate with inventors, licensing and litigation teams; map claims to standards and products; support post-grant reviews, assertion efforts, acquisitions, and SSO declarations.

In this role, you'll identify AI opportunities for enterprise clients, design scalable AI solutions, prototype implementations, and drive customer value from AI deployments while providing industry expertise.

Build and deploy production-grade AI solutions for clinical research: select and orchestrate LLMs, implement RAG and agentic systems for multimodal medical data, create scalable pipelines, and collaborate with cross-functional teams to integrate AI features that support patient recruitment and site selection.

Lead go-to-market strategy and commercialization for digital assets in EMEA. Drive product positioning, client engagements, regulatory and market analysis, cross-functional alignment, enablement materials, and influence global product roadmaps to scale adoption.

Lead the development of AI-assisted engineering practices and tooling, enhance developer experience, and implement security measures across the engineering team.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

Lead development of proactive AI-driven sales workflows and roadmap for Account Executives. Work hands-on with prompts, connectors and evaluation, align with sales and AI platform teams, prioritize high-impact automations, and drive outcomes like reduced low-value work, faster offer creation, and higher win rates.

Build and operate an internal AI-driven developer platform that supplies LLMs with the right code, docs, and context; automate code changes and PR proposals; integrate GitHub, CI/CD, observability and internal systems; evaluate generated code and run feedback loops to ensure secure, reliable, production-ready developer tooling.

The AI Success Engineer will drive the deployment of Generative AI agents, support internal users, and identify automation opportunities by collaborating with technical and business teams.

Lead and coach an enterprise sales team to drive AI-powered business process transformation using Copilot and agent orchestration. Develop go-to-market and partner strategies, build C-level relationships, manage pipeline and forecasting, scale AI CRM/ERP solutions, and ensure sales execution and consumption targets while sharing customer successes and driving continuous improvement.

Lead the company’s technical strategy, architecture, infrastructure, data platform, AI adoption, cybersecurity, anti-fraud, and compliance initiatives. Build scalable systems for a 30-million-user B2C mobile application, define future product pillars, improve execution speed, and lead a 20-person engineering organization. Partner with Product and implement AI across recommendations, fraud detection, and software development.

Create hands-on, on-camera educational content teaching AI tools and workflows. Test and evaluate new AI tools, script and record lessons, host live sessions and office hours, provide personalised feedback, and collaborate to build courses, guides, and workshops for a large AI community.

As an AI Monitoring and Onboarding Specialist intern, you will produce AI trend digests, conduct competitive analysis, and support AI training initiatives while simplifying complex information for diverse audiences.

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

Join our AI Operations team as a Software Engineer, developing AI-powered features and tools, optimizing services, and shaping internal standards.

Lead design and industrialisation of procurement processes by prototyping with generative AI, selecting appropriate technical solutions, owning KPIs and cost trade-offs, coordinating Tech and procurement teams, and enabling adoption and strategy.

The Support Engineer will enhance user experiences through quality assurance, debugging, knowledge gap closure, and supporting agent responses, ensuring minimal human intervention in AI interactions.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As a Solutions Engineer, you'll ensure customers achieve value from ChatGPT and OpenAI API through pre-sales support, demos, and technical advisory.

Lead and grow an AI Enablement team to design, build, and operate internal AI tooling (agents, assistants, frameworks). Own architecture, deliver function-specific AI solutions, enforce security/responsible-AI guardrails, drive AI-assisted engineering practices, remain hands-on for critical components, and track adoption and ROI while partnering with cross-functional stakeholders.

The AI Product Manager will drive the adoption and operationalization of AI solutions, collaborating with teams to create production-ready applications and measure their impact.

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

Lead the design, build, and roadmap of Edenred's Data & AI platform (Databricks/Unity Catalog). Deliver secure, scalable, observable platform primitives, enable agent interoperability, co-own CI/CD and infra-as-code, coach teams, and prevent platform fragmentation while enabling safe experimentation.