Top Artificial Intelligence Jobs in Paris

Leads business, product, technology, data, and AI transformation engagements from initial framing through execution. Manages senior client relationships, facilitates workshops, structures workstreams, develops transformation roadmaps, oversees delivery, resources, risks, and quality, and contributes to proposals and business development. The role also coaches consultants and digital experts, supports methodology development, and helps grow the firm's transformation offering.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

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.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Lead enterprise AI adoption by coordinating training, enablement, change initiatives, governance, compliance, demand management, and delivery oversight. Manage the AI project portfolio, business cases, roadmaps, risks, stakeholder alignment, and communication across business, technology, risk, legal, and architecture teams. Accelerate responsible scaling of AI solutions across markets while translating complex AI concepts into practical business value and supporting user adoption.

Leads NVIDIA’s global public-sector AI business development strategy across EMEA. Collaborates with sales, marketing, solution architects, developer relations, and partners to drive GPU adoption, pipeline growth, account planning, sales enablement, government agency engagement, and major deal execution. Develops AI use cases, market assessments, sales tools, case studies, and customer relationships while supporting regional go-to-market execution and platform adoption.

Owns the full sales cycle for strategic Global 500 accounts, from pipeline creation and account mapping through proof-of-concept leadership, executive relationship development, negotiations, and closing. The role requires self-sourced cybersecurity opportunities, partner collaboration, complex solution selling, and strong engagement with senior decision-makers. It also involves coordinating multidisciplinary teams, maintaining strategic account plans, and expanding customer and partner relationships.

Build and deploy AI-enabled QA automation for Unity games, maintain TeamCity build pipelines and infrastructure, onboard games and tools, and improve testing reliability, scalability, and cost efficiency. The role explores AI-driven testing approaches, measures impact, and drives adoption across developers, QA teams, studios, and mobile teams.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Research and develop GPU-accelerated techniques for deep learning, machine learning, and other AI workloads. Analyze and optimize complex AI and HPC algorithms across CPU and GPU architectures, eliminate performance bottlenecks, and collaborate with hardware, software, research, libraries, and tools teams. Publish optimization findings, engage the developer community, and influence next-generation hardware, software, and programming models.

Own the Military Solutions product vertical from strategy through field deployment. Define roadmaps, translate military requirements into robust products, and work directly with armed forces, intelligence organizations, operators, and command posts. Lead cross-functional execution across software, AI, hardware, sensors, connectivity, and integrations, while prioritizing reliability, security, deployability, and performance in challenging environments. Regularly participate in field tests and operational deployments across Europe and Ukraine.

Develops data analytics, data science, and AI solutions for internal audit, including pipelines, automations, APIs, machine-learning analyses, and reusable tools. Translates audit and risk questions into reliable, evidence-based insights; strengthens data governance and code quality; and trains auditors through coaching and bootcamps. The role also drives the internal audit data and AI roadmap, supports technology innovation, and collaborates internationally across Ayvens and Societe Generale.

Support enterprise client implementations by configuring and testing AI agents, defining candidate journeys, monitoring implementation impact, optimizing processes in ClickUp, and coordinating with internal teams and clients. The role involves analyzing test results, improving workflows, supporting change management, and contributing to strategic implementation projects across global markets.

Create AI-generated photorealistic elements and integrate them into production composites with live-action plates and CG. Develop generative templates, maintain workflows, prepare training datasets, evaluate emerging AI tools, and deliver high-quality face-swap and VFX composites. Collaborate with VFX supervisors, production, pipeline, and TD teams while meeting studio standards, deadlines, security requirements, confidentiality obligations, and legal and ethical guidelines.

Six-month AI/ML engineering internship focused on building remit, an agentic data science system that transforms business questions and datasets into trusted recommendations. Responsibilities include designing AI agents, implementing data-quality and leakage checks, evaluating agent reliability and cost, integrating modeling tools and tabular foundation models, and supporting Databricks, Unity Catalog, and MLflow integration. The intern will conduct research, benchmark realistic business cases, collaborate with data scientists, and help ensure safe, governed, explainable AI workflows.

Executes software engineering solutions within defined projects, applies established design standards, supports problem solving using QRQC, prepares technical documentation, adopts digitalization tools, contributes to continuous improvement and innovation, and collaborates with engineering teams. The role also provides technical guidance to junior engineers and supports budget-aware resource utilization.

Designs, builds, deploys, and supports production AI, data, and software solutions for clients. Responsibilities include writing production code, architecting systems, building data pipelines and AI workflows, implementing testing and monitoring, driving user adoption, and guiding engineers. The role also involves client engagement, technical scoping, stakeholder communication, project estimation, candidate interviewing, and development of reusable internal AI capabilities.

Leads global FP&A activities, including financial analysis, annual and long-term planning, forecasting, management reporting, investment evaluation, and performance reviews. Drives standardized planning processes, finance digitalization, AI adoption, data-quality improvements, cost-saving initiatives, and profitability improvements. Partners with senior stakeholders and global business lines, communicates financial insights, and supports training and knowledge sharing across Finance.

Own AI-powered integrations and multi-year roadmaps for strategic enterprise CRM customers. Build secure integrations, workflows, and agentic AI automations; advise customer technical teams; manage APIs, data pipelines, and event-driven architectures; deliver maintainable production code; and translate customer needs into product improvements. The role requires strong software engineering experience, enterprise integration expertise, customer partnership skills, and professional fluency in French and English.

Evaluate and improve Fin, Back Market’s AI customer care agent, by reviewing conversations, monitoring quality scorecards, identifying defects and root causes, analyzing performance across markets and use cases, and tracking corrective actions. The intern will document evaluation frameworks and provide actionable feedback to product, engineering, content, and data teams.

Support the International Sales Enablement team by creating training courses, learning materials, and sales collateral; simplifying processes into accessible content; coordinating training sessions; supporting ISO 9001 and cross-functional sales projects; contributing to reporting; and improving sales onboarding and development initiatives. The role involves close collaboration with international sales representatives and use of digital content, CRM, collaboration, and learning tools.

Drives enterprise sales growth for legal and compliance software products through account planning, new customer acquisition, upselling, cross-selling, and strategic relationship management. Leads complex customer engagements, presents tailored solutions, manages sales quotas and forecasts, and collaborates with solution consultants, marketing, professional services, partnerships, and customer success teams. Requires consultative selling, enterprise account management, CRM proficiency, and strong negotiation and presentation skills.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Provides L2 monitoring, triage, investigation, and escalation for AI and cloud security detections. Analyzes telemetry using KQL or SQL, maintains dashboards, and produces operational, compliance, and risk reporting. Investigates AI threats including prompt injection, jailbreaks, data leakage, agent hijacking, and unauthorized tool activity. Monitors Azure, AWS, and GCP posture, supports vulnerability and compliance remediation, documents cases, and partners with SOC, cloud, incident response, and engineering teams.