Top Artificial Intelligence Jobs in Paris

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

The role involves automating tasks using Github Copilot, managing data for reporting models, and improving documentation practices in a CI/CD DevOps environment.

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.

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.

As an AI Deployment Strategist, you'll design, build, and deploy AI-powered planning solutions, work with customers, and bridge product and engineering teams to innovate and scale AI workflows.

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.

Lead enterprise cloud sales in the Netherlands for Tencent Cloud: own full sales cycle, build C-level relationships, develop strategic account plans, close complex high-value contracts, partner with Solutions Engineering, Legal, and Finance, and drive revenue growth across Retail, Telecom, eCommerce, and Gaming.

Design, train, and deploy state-of-the-art multimodal acoustic models for underwater detection, classification and localization. Build end-to-end training pipelines with self-supervised pre-training and fine-tuning, fuse multiple sensor modalities, optimize and distill models for edge deployment on constrained hardware, shape data collection strategy from fleet sensors, and iterate using sea trials.

As an AI Research Intern, you'll design and implement deep learning models for computer vision tasks, including research on CNNs and Vision Transformers and techniques like model compression and quantisation-aware training.

The Solution Architect for Agentic AI is responsible for defining AI architecture, driving adoption of best practices, and supporting product teams in designing scalable AI solutions while ensuring alignment with enterprise architecture standards.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Embed with customers to discover AI use cases, build end-to-end RAG/LLM prototypes, productionize services with CI/CD and IaC, monitor reliability/cost, ensure security/compliance, and enable customer adoption and feedback.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

Research and develop AI methods for robotics, build infrastructure for AI model training, and collaborate with teams to deploy AI systems on robots.

Support identification and implementation of AI-driven business use cases, collaborate with cross-functional teams, analyze impact using data, and provide training on AI tools to improve processes across sales and marketing.

Lead the design and implementation of data pipelines and AI workflows, collaborating with stakeholders on technical architectures within a dynamic data engineering team.

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.

The AI Full Stack Engineer will design, develop, and maintain AI-powered web applications. Responsibilities include front-end and back-end development, API creation, and collaboration with product teams to deliver intuitive user interfaces and secure data management.

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

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

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.

Lead the IT & AI Ops organization, overseeing IT strategy, operations, and infrastructure to support quantum computing research and engineer workflows. Manage teams and ensure robust security practices while optimizing technology resources for rapid innovation.

As a Partners Solutions Architect at Anthropic, you'll build technical relationships with integrators and cloud partners, facilitate AI solutions, and represent Anthropic at industry events.

The AI Threat Researcher will conduct AI-related threat research, analyze data, drive feature requirements, and collaborate with engineers to enhance product capabilities.