Top Artificial Intelligence Jobs in Paris

The Engineering Manager will lead the Evaluation & Annotation team, define technical roadmaps, manage engineers, and enhance AI infrastructure and processes.

Lead technical vision and architecture for LLM/GenAI features, coach and grow the AI engineering team, ship end-to-end production features, optimize cost/latency/reliability, integrate LLMs and search/RAG systems, and collaborate with product and design to scale AI capabilities.

Support P&C senior management with market and competitive intelligence, strategic plan monitoring, research and analysis, external communications, M&A assessment, AI deployment initiatives, business development, and ad hoc presentations and briefings for executives and stakeholders.

Rotational graduate program within Alan's Insurance team covering enterprise offers, insurance product lifecycle, analytics and repricing, and reinsurance/risk. After a two-month onboarding you'll work cross-functionally with Engineering, Data, Finance and Marketing to build prevention-focused insurance products, leveraging SQL and AI, with coaching and visible impact from day one.

Lead AI-powered sales enablement for EMEA: design and deploy AI agents and automated workflows, run onboarding and continuous learning (MEDDPICC/Challenger), use Gong and performance data to close capability gaps, influence senior stakeholders, and scale enablement for Mirakl’s product lines.

This internship involves managing digital innovation projects, fostering a digital community, and supporting AI initiatives across CHANEL Europe.

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.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As an AI Research Engineer, you will work with research scientists to build infrastructure, implement models, and enhance AI capabilities in systems for production code repair and observability.

The Vice President of Engineering will lead the credit engineering team, manage product development, foster innovation, and drive cross-functional collaboration.

Lead a team of engineers and applied scientists to build cost-efficient specialized AI models and security capabilities, own end-to-end delivery from research to production, define evaluation pipelines and success criteria, collaborate with product and research, and mentor/hire to grow the team.

Design, train, optimize, and deploy compact, high-throughput anomaly-detection models for streaming telemetry. Build training-data pipelines, integrate models into production with GPU/latency/cost constraints, create interpretability tools and agentic validation layers, and maintain/monitor systems including on-call rotation.

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.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Manage and grow the Training & Serving team, support building and scaling, define technical vision, and ensure a strong team culture while engaging in hands-on coding and reviews.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

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.

As a Senior AI Agent Engineer, you will ensure customers succeed with Moveworks by designing and implementing AI solutions, integrating systems, and collaborating with product teams for improvements.

Lead design and delivery of AI-powered visualization and investigation features using LLMs. Build reliable, explainable systems combining deterministic product capabilities with generative models, drive prompt/context engineering, evaluation frameworks, and cross-team product-focused technical leadership and mentorship.

Support Value Engineering by analyzing customer process data, identifying use cases in the Celonis platform, quantifying financial impact, preparing management presentations, and presenting insights to C-levels while leveraging Celonis AI and data modeling.

As a Senior Solutions Engineer, you will engage customers to provide technical solutions related to Data & AI, enhance customer relationships, and lead strategic engagements. You'll also create impactful architectures and foster community practices within the region.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.