Top Artificial Intelligence Jobs in Paris

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.

Lead Fever’s AI search strategy by measuring brand visibility across LLMs and emerging platforms, testing how SEO signals influence citations, and developing analytical frameworks for AI visibility reporting. Collaborate with Product and Engineering to optimize schemas, site architecture, and APIs for AI ingestion. Evaluate new AI models and tools, translate developments into experiments, and execute PR and community strategies that strengthen brand authority and LLM perception.

Build and deploy production-grade AI solutions for clinical research: select and orchestrate LLMs, implement RAG and agentic systems for multimodal medical data, create scalable pipelines, and collaborate with cross-functional teams to integrate AI features that support patient recruitment and site selection.

Provides strategic legal support across intellectual property, IT, technology transactions, commercial contracts, privacy, cybersecurity, and digital transformation. Drafts and negotiates international agreements, manages IP protection and disputes, advises stakeholders on legal risks, supports compliance and governance, monitors regulatory developments, and delivers internal training. The role requires strong commercial judgment, communication, negotiation, and stakeholder management in an international environment.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

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 and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Own and negotiate commercial contracts, including MSAs, DPAs, SaaS agreements, and vendor contracts. Partner with Sales, Customer Success, and leadership to support go-to-market activities, manage risk, and accelerate deal cycles. Build scalable legal templates, playbooks, and processes while advising on data protection, compliance, and corporate matters. The role requires pragmatic commercial judgment in a fast-paced B2B SaaS environment with international US/EU contracts.

Set technical direction across engineering squads, leading Azure architecture, API management, cloud reliability, observability, infrastructure, and developer experience. Design standards and reusable frameworks for agentic AI, chatbots, MCP integrations, security, token-cost governance, and scalable product capabilities. Mentor teams, align engineering and data science, and drive modernization through robust APIs, event-driven systems, and maintainable AI ecosystems.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s remote Igbo contributor network in Nigeria to support flexible AI projects. Potential assignments include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring linguistic and cultural accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join Welo Data’s remote Persian contributor network to support AI training projects through text, image, or audio annotation; search, ad, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s Marathi contributor network for future remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Applicants must be native or near-native Marathi speakers based in India, proficient in English, comfortable with digital tools, detail-oriented, and curious. This is a talent-community opportunity rather than an active opening, with project scope, timelines, and compensation provided before each assignment.

Join a remote Galician AI contributor network supporting flexible projects in data annotation, search and chatbot evaluation, prompt creation, and cultural and linguistic quality review. Projects may involve text, image, or audio labeling and improving large language models. This is a talent community rather than an active opening; project scope, timelines, and compensation are provided when relevant opportunities arise.