Top Artificial Intelligence Jobs in Paris

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 Transformation Intern will design, prototype, and deploy AI solutions, improve operational processes, and document progress while collaborating with teams across QIMA.

Build and productionize AI features for HR agents: prototype, fine-tune, evaluate LLMs, create evaluation pipelines, optimize latency/cost, ensure safety and compliance, and collaborate cross-functionally to ship scalable AI solutions.

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 Account Executive will engage with European governments, building relationships and ensuring successful AI solution deployments that align with national priorities.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

The role involves reviewing and evaluating AI-generated outputs, correcting text and analyzing content with a keen focus on cultural relevance and accuracy.

As Lead Data Engineer, you'll design and develop data pipelines and models, manage a team, and ensure compliance with regulations while collaborating with various teams.

Lead end-to-end development and architecture of industrial-grade AI/ML software products, collaborate cross-functionally, integrate ML capabilities, provide technical leadership, mentor staff, and support product strategy, governance, and external representation.

The Senior AI Vertical Mini-Series Director will manage production of short drama series, directing and editing episodes while collaborating with AI content teams.

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.

The Product Manager for AI Customer Support leads product strategy, enhancing AI-driven customer interactions, and collaborates with teams to ensure effective implementation and operation of AI tools across various platforms.

As a Staff Data Analyst - AI Tooling, lead the assessment and implementation of BI tools, enhance data accessibility, and drive analytics efficiency across teams.

Manage and enhance the LLM Translation Quality Project by overseeing content creation, localization, and AI prompt development across multiple languages.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

The Principal Data & AI Architect will lead technical sales initiatives, build Proof of Concepts, and ensure customer success with AI solutions on the Salesforce platform.

As an AI Engineer, you'll develop the LLM evaluation framework, conduct A/B testing, define metrics, and ensure reliable model releases.

The Product Manager will define product strategy for Mistral AI Studio, overseeing product development, user engagement, and market alignment while collaborating with cross-functional teams.

Embed with strategic customers to build production AI applications using Claude and LLMs, deliver deployment artifacts (MCP servers, agents), provide white-glove enterprise deployment support, codify repeatable patterns, and travel frequently to customer sites.

Design and implement data pipelines, optimize data models, automate data ingestion, and enforce data quality in cloud environments, leveraging AI technologies and collaboration across teams.

Lead the development of AI-powered products, handling design, implementation, and deployment across multiple teams while ensuring high performance and safety standards.

As a Fullstack Engineer, you will design user interfaces, build APIs, write and test code, participate in deployments, and contribute to platform improvements while collaborating in an agile environment.

The AI Engineer will design RL environments, develop reward functions, build evaluation frameworks, and create data pipelines for AI agents in supply chain applications.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.