Top Artificial Intelligence Jobs in Paris

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 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.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

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.

Conduct research advancing self-improving AI, agentic intelligence, autonomous execution, long-horizon reasoning, learning from experience, model architectures, training, and evaluation. Develop novel algorithms, research prototypes, and experimental systems, collaborating with engineers and researchers to turn frontier research into robust, scalable AI systems.

Comand AI is accepting spontaneous applications for future engineering, product, business development, and deployment roles. Potential work includes forward-deployed engineering, computer vision, applied machine learning research, full-stack and backend development, geospatial data, ML/LLM workflows, and military deployment strategy. Strong candidates operate autonomously, handle ambiguity, scope problems independently, and prioritize user outcomes. The company operates from Paris and London with a hybrid setup.

Drive the strategy, roadmap, and development of Scaleway’s AI Inference and Generative APIs products. Responsibilities include identifying customer needs, designing developer-focused APIs, collaborating with engineering, prioritizing features, analyzing usage and revenue data, monitoring AI and inference developments, and rapidly delivering new capabilities in a fast-changing B2B AI market.

Lead and grow a team of Applied Scientists to research, prototype, and productionize AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, stay hands-on technically, hire and onboard team members, and coordinate delivery with product and engineering stakeholders.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop and evaluate AI-agent systems powered by large language and multimodal models. Build rapid prototypes, research and reproduce new approaches, create reusable software infrastructure, analyze system performance, and iterate toward customer-ready solutions. The role emphasizes hands-on engineering, including tool use, planning, memory, retrieval, code execution, computer use, and multi-step workflows, with ownership of technical problems from concept through implementation and evaluation.

Develop the German market for Gini, MyTraffic’s AI-powered location intelligence product. Generate opportunities through outbound and inbound channels, manage the full B2B sales cycle, sell to SMB and mid-market customers, deliver demos and business cases, and close new business. Drive upsell and cross-sell opportunities with Customer Success while contributing to industry events and networking. The role requires German and English fluency and experience carrying approximately €400K in annual quota.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Lead the design, development, deployment, and continuous improvement of machine learning, generative AI, agentic AI, and LLM-based solutions. Define Accor’s AI architecture, establish practices for prompt engineering, evaluation, MLOps, and documentation, and collaborate with Data, Platform, and Product teams to industrialize scalable AI capabilities. Mentor engineering teams, evaluate emerging technologies, and deliver high-impact solutions for customer experience, hotel operations, and internal teams.

Lead Joko’s AI Platform product tribe, owning strategy, roadmap, and delivery for Joker, Gotham, internal automation, identity, security, compliance, and reliability products. Build production-grade agent infrastructure, retire legacy tools, align stakeholders across the company, and measure efficiency, cost, risk, and adoption. The role also involves hiring, mentoring, and managing Product Managers while remaining hands-on with platform product decisions.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Build and lead enterprise agentic AI systems, including orchestration, retrieval, multi-agent collaboration, tool integration, evaluation, observability, security, and production services. Establish engineering standards and frameworks that enable teams to develop reliable AI capabilities. Mentor engineers, guide architecture, write production-grade code, and drive cross-functional technical decisions across the organization.

Advise French enterprise customers on deploying Claude across operations, products, and workflows. Lead technical evaluations, proofs of value, architecture design, agent design, security reviews, procurement support, and production adoption. Present business value to executive stakeholders, guide systems integration partners, conduct workshops, and provide technical advice throughout deployment. Collaborate with account, product, engineering, and applied AI teams while communicating fluently in French and English.

Design, prototype, evaluate, and ship AI agents and reusable skills for product and analytical challenges. Build agent evaluators, guardrails, golden datasets, retrieval systems, and LLM-powered diagnostics. Collaborate with Product, R&D, GTM, and Design teams to frame ambiguous problems, analyze large datasets, develop predictive models, and create actionable insights. The internship requires a builder mindset, strong analytical ability, and proficiency in Python, SQL, data pipelines, and visualization.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Build and ship AI-powered products for litigation lawyers. Responsibilities include designing agentic workflows, processing complex legal documents, developing data pipelines, evaluating model outcomes, improving quality, latency, and cost, and building reliable backend infrastructure. The role involves taking AI experiments into production, collaborating with founders and users, and owning projects from exploration through deployment.

Drive adoption of Microsoft 365 Copilot, Power Platform, automation, and collaboration technologies. Partner with stakeholders to identify use cases, lead solution workshops, build prototypes and reusable solutions, deliver training, and improve adoption. Administer and engineer Teams, SharePoint Online, OneDrive, and Exchange Online while establishing governance, security, compliance, and responsible AI practices. Develop Power Platform and PowerShell automations and translate business needs into secure, scalable workplace solutions.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.