Top Artificial Intelligence Jobs in Paris

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.

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.

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

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.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

The Applied AI Engineer will develop automated MLOps pipelines for integrating and deploying AI models in healthcare robotics, ensuring compliance with regulations and achieving clinical accuracy targets.

Act as primary technical contact in pre-sales for large-scale GPU and AI projects: analyze AI workloads, design and provision custom GPU clusters, run POCs, translate constraints into business value, and collaborate with sales and engineering to close enterprise deals.

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.

Design, scope and govern modular, secure Power Platform and Copilot solutions. Lead architecture workshops, audit environments, produce HLD/LLD, supervise implementations, manage technical teams, and define AI/Copilot standards and best practices.

Design and develop scalable .NET software architectures, integrate generative AI/ML services (Azure AI, OpenAI, ML.NET), lead technical workshops, mentor developers, enforce CI/CD/DevOps practices, conduct code reviews, and ensure software quality and security.

Lead and deliver change workstreams on complex transformation programmes, build multi-stakeholder adoption strategies, measure impact with KPIs and analytics, disseminate an augmented consultant model and AI agents, develop offerings and adoption kits, manage and upskill consultants, and support executive governance and client relationships.

Lead and deliver AI and data transformation engagements from strategy to implementation. Design automation and Infrastructure-as-Code solutions, mentor teams, manage change, and present to clients. Work in multidisciplinary teams on generative AI, intelligent platforms, and large-scale digital transformations.

Lead change management workstreams combining frameworks, employee experience design, and AI agents; conduct impact studies, design adoption strategies, run workshops, deploy governance and reporting, support pre-sales, mentor consultants, and contribute to R&D of change products and AI modules.

Design, build, and deploy production LLM- and agent-based systems that automate medical coding in hospitals. Own end-to-end AI features from research and prototyping to deployment and monitoring. Build secure health-data ingestion pipelines, integrate AI outputs into clinical applications, and define the AI roadmap with the CTO.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

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.

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.

Lead strategic account growth by positioning Nagarro as the AI transformation partner to CXOs, deliver 15%+ YOY revenue growth, shape CXO agendas, manage procurement and legal negotiations, collaborate with internal engineering and AI capability teams, and secure client references and testimonials.

Source and engage elite research scientists, software engineers, and robotics/infra talent using targeted channels (papers, GitHub, conferences). Build high-converting outreach, map markets, maintain pipelines, and operationalize scalable sourcing (Ashby, automation, enrichment). Measure response rates and pipeline health to iterate.

Full-cycle technical recruiter focused on sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner with founders and technical leaders to design searches, build scalable sourcing and screening workflows (in Ashby), run a high-quality candidate experience, and automate recruiting processes to scale hiring.

Full-cycle recruiter responsible for sourcing and closing elite Research Scientists, Software Engineers, and Robotics engineers. Partner closely with founders and technical leaders, build scalable sourcing and screening workflows (Ashby/ATS), run a fast, candidate-friendly hiring process, and use data and automation to optimize pipeline health and conversions.

Design, build, and optimize distributed PyTorch training systems for multi-node GPU clusters. Profile and eliminate performance bottlenecks across data pipelines, kernels, and networking. Implement low-level CUDA/cuDNN/Triton kernels, tune hardware-software interactions, and develop monitoring and debugging tools for large-scale training runs to maximize utilization and reduce time-to-convergence.