Top Artificial Intelligence Jobs in Paris

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.

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.

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.

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.

Lead AI-powered sales enablement for EMEA: design, build, and operationalize AI agents and automated workflows, run onboarding and continuous learning programs, use Gong and performance data to measure impact, influence senior stakeholders, and scale enablement for new product lines like Mirakl Ads and Connect.

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.

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 customer deployments of AI Agents on the Moveworks ServiceNow platform: design and build integrations, architect full-stack AI solutions, tune LLM-driven workflows, partner with product and engineering, and drive customer adoption and reusable templates.

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.

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 and grow Inato's AI prescreening product for clinical research sites. Prioritize user satisfaction, scale global adoption (especially outside the US), and deliver features that automate patient eligibility review, adapt pipelines for country-specific regulations, and leverage state-of-the-art AI models to improve accuracy and reduce costs. Collaborate with product and AI engineering teams to drive product strategy, execution, and international expansion.

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 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.

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.

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.

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

This is a spontaneous application for various roles at Streem Energy, a company providing SaaS solutions in renewable energy. Enthusiastic applicants can submit their resumes.

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

Lead and grow an Applied Science team building agentic AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, move prototypes to production, hire and onboard scientists, partner with product and engineering, and represent team priorities to stakeholders.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

The Director of Engineering for Mission Intelligence will manage engineering teams, oversee recruitment, develop standardized processes, and contribute to organizational strategy while remaining technically engaged with projects.

The Strategy Execution Consultant manages client relationships, designs solutions linked to strategy, leads projects, and facilitates workshops to drive business results.

The intern will support the CTO with key business priorities, contributing to projects on technology, AI, strategy, governance, and marketing. Responsibilities include exploring new technologies, developing processes, and collaborating with various teams.