Top Artificial Intelligence Jobs in Paris

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Administer enterprise SaaS, identity, endpoint management, and AI platforms across multiple legal entities. Own Okta, Google Workspace, Jamf, and Intune environments; resolve escalated IT incidents; automate workflows; and lead identity hardening, OAuth governance, SaaS data protection, ZTNA support, and security detection efforts. Govern enterprise AI tenants, licensing, data access, connectors, and shadow AI usage while communicating security risks and solutions to executives and developers.

Own the vision, roadmap, backlog, governance, and delivery milestones for a consumer-grade Beauty Conversations AI platform. Align business, product, technology, and design stakeholders; prioritize multiple AI workstreams; defend deliverables at executive governance forums; coordinate compliance approvals, including Trustworthy AI and red-team testing; and facilitate steering committees and demonstrations across global teams.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Experiment with generative image and video models, build advanced ComfyUI workflows and automated pipelines, and create high-quality demos, examples, guides, and social content. Translate technical experimentation into engaging developer- and creator-facing material, rapidly evaluate new model releases, and collaborate with Growth, Product, and Engineering on launches and use cases.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Leads Ipsen’s global omnichannel customer experience strategy across pharmaceutical brands and markets. Responsibilities include developing multi-year digital roadmaps, supporting integrated campaigns, driving AI and technology innovation, monitoring KPIs, ensuring regulatory and data privacy compliance, managing agencies and vendors, optimizing campaigns through analytics, and leading a high-performing digital team. The role partners with commercial, medical, legal, regulatory, marketing, global, and local stakeholders to improve engagement with healthcare professionals, patients, and other key audiences.

Build the engineering foundations for AI agents used in supply chain and retail workflows. Responsibilities include developing backend services, APIs, evaluation systems, pipelines, integrations, reproducible environments, observability, testing, deployment, and feedback loops. The role partners with model-training teams to improve reliability, analyze failures, create regression tests, and turn production signals into better models and products. It also provides technical leadership through architecture, code review, documentation, mentoring, and cross-team guidance.

Own the end-to-end functional product line for NeoXam’s GP investment accounting and fund administration platform. Define vision, roadmap, regulatory coverage, packaging, client governance, standard-versus-bespoke decisions, migration programs, backlog priorities, and delivery with distributed squads. Partner with engineering, sales, presales, professional services, architects, developers, and QA while managing product KPIs, modernization, AI integration, and multi-jurisdictional requirements. The role requires deep investment accounting expertise, regulatory product experience, major change delivery, and fluent French and English communication.

Supports responsible enterprise AI adoption by monitoring market trends, evaluating AI solutions, assisting onboarding and rollout, and developing training, coaching, guidance, and communications. Provides user support on prompting and agentic AI, identifies adoption barriers, translates technical developments into business language, and promotes compliant, productive AI use across workforce teams.

Build practical AI applications, integrations, automations, workflows, and developer tools for startup customers using Codex. Lead technical talks, demos, workshops, hackathons, and community programs; troubleshoot customer issues; evaluate reliability and effectiveness; create reusable resources; and communicate developer feedback to Product, Research, and Engineering teams to improve adoption and model behavior.

Lead distributed engineering teams building production-grade generative AI services and reusable agent ecosystems across consumer touchpoints. Own technical architecture, agent orchestration, MCP and A2A integrations, knowledge graphs, and enterprise platform integrations. Apply GCP, Google ADK, Vertex AI, security, accessibility, and AI/ML best practices while collaborating with Advanced Engineering and Modiface teams. This hybrid role is based in Paris with onsite work two to three days per week.

Leads complex supply chain software implementations for customers, including requirements discovery, solution configuration, process design, testing, deployment workshops, troubleshooting, and customer training. Applies supply chain planning expertise, mathematical optimization, and AI algorithms to forecasting, MRP, constraint management, and production scheduling scenarios. Provides functional leadership, mentors junior consultants, partners with solution architects, and supports executive customer stakeholders. Requires extensive travel to client sites.

Provides technical leadership for designing, developing, and deploying AI, machine learning, generative AI, and advanced analytics products. Leads solutions from experimentation through production while promoting software engineering, MLOps, testing, governance, responsible AI, and lifecycle best practices. Collaborates with business and product stakeholders, mentors data scientists and machine learning engineers, conducts technical reviews, and ensures scalable, reliable, interpretable, and maintainable AI solutions.

Design and deploy enterprise AI and LLM solutions across Europe using Tencent Cloud TokenHub. Lead discovery workshops, architecture design, proofs of concept, technical validation, production deployment, troubleshooting, and performance optimization. Develop scalable architectures involving LLMs, RAG, AI Agents, MCP, vector databases, orchestration, and cloud-native services. Collaborate with product, engineering, research, and customers to translate requirements into platform improvements and reusable implementation resources.

Designs and implements enterprise AI and LLM solutions across Europe using Tencent Cloud TokenHub. Responsibilities include customer discovery, architecture design, POCs, technical validation, production deployment, troubleshooting, performance optimization, and technical proposals. The role develops scalable architectures using LLMs, RAG, AI agents, MCP, vector databases, fine-tuning, and cloud-native services while translating customer needs into platform enhancements and reusable implementation frameworks.

Own the end-to-end lifecycle, roadmap, adoption, and monetization of ArrowSphere’s AI portfolio, including the Assistant, AI 360 Dashboard, and AI Agents. Define AI product strategy, agentic use cases, pricing, packaging, recurring-revenue models, and value-added services. Partner with engineering, sales, marketing, finance, cloud vendors, and customers to deliver products, optimize commercial KPIs, support go-to-market initiatives, and enable internal teams and partners.

Designs, builds, evaluates, and deploys AI-powered software development workflows using Codex. Partners with engineering organizations to move prototypes into reliable production systems, improve developer adoption, and measure engineering productivity gains. Responsibilities include building integrations and evaluation harnesses, resolving implementation challenges, advising on security and operational readiness, leading technical workshops, and translating deployment insights into product and model feedback.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Designs, deploys, and governs production-grade agentic AI systems for enterprise clients. Responsibilities include multi-agent orchestration, RAG standards, multi-LLM integration, LLMOps, evaluation harnesses, observability, safety monitoring, cost controls, architecture sessions, reusable engineering patterns, and executive-facing impact measurement. The role also leads client engagements and manages, develops, and performance-manages engineering teams.

Leads AI and experience orchestration sales-overlay initiatives, supporting account teams with deal strategy, territory planning, pipeline creation, forecasting, customer workshops, proposals, pricing, enablement, and AI proof-of-concept execution. Serves as a senior AI subject matter expert for customer experience and conversational AI solutions, influencing executives and coordinating cross-functional teams across sales, marketing, product, customer success, and professional services.

Design, build, and deploy production-grade agentic AI systems, including multi-agent orchestration, RAG pipelines, LLM provider integrations, evaluation harnesses, observability, and cost and safety monitoring. Partner with client engineering teams on architecture, workshops, proofs of concept, and deployments. Develop reusable AI patterns, accelerators, and playbooks while measuring system accuracy, latency, safety, and cost-effectiveness.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.