Top Artificial Intelligence Jobs in Paris

Leads the design and delivery of complex warehouse automation solutions in France, translating customer logistics challenges into technical sales strategies. Responsibilities include solution architecture, costing, risk mitigation, stakeholder influence, partner and supplier collaboration, project leadership, and technical training. The role supports sales outcomes, mentors teams, and serves as a technical expert while traveling twice monthly to clients and monthly to headquarters.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Own mid-market sales growth across France, Belgium, and Luxembourg. Generate outbound pipeline, manage full-cycle B2B SaaS deals, build ROI-driven business cases, engage senior stakeholders, coordinate cross-functional deal teams, displace competing learning platforms, maintain CRM discipline, and deliver accurate forecasts. The role requires native French and fluent professional English, with experience selling SaaS, preferably LMS, LXP, HR technology, or workforce intelligence solutions.

Support the CEO, CTO, and Chief of Staff on high-priority company initiatives. Conduct market and competitive research, build US sales enablement materials, run growth experiments, develop finance reports and models, monitor healthcare AI regulation, support public affairs, and manage founder branding. The role requires independent execution, structured recommendations, and cross-functional collaboration across Paris and New York.

Leads Sanofi’s global Ethics and Business Integrity strategy, including Code of Conduct updates, compliance learning programs, communications, operating procedures, conflict-of-interest disclosures, and learning analytics. The role oversees global compliance training governance, AI-enabled personalization, regional enablement, risk-aligned learning priorities, and strategic service providers. It also represents compliance learning within the enterprise learning ecosystem and leads a high-performing international team.

Leads enterprise Celonis implementations by conducting discovery workshops, translating business needs into technical specifications, directing AI agents, building process models and operational solutions, validating outputs, defining KPIs, quantifying value, and enabling customer adoption. Develops domain expertise, manages project outcomes, trains users, documents solutions, and collaborates with stakeholders to improve business processes and shape scalable platform use cases.

Own France revenue across sales and partnerships, scale ARR from €5M to €30M within 18 months, and build the organization toward €40–50M+ ARR. Lead business-unit sales leads and partnerships, hire and coach teams, establish forecasting and pipeline discipline, design quotas and compensation, improve large-account closing, and represent revenue strategy on the executive committee. The role also partners with Customer Operations, Product, and Operations to improve the revenue engine and customer handoffs.

Provide broad French country legal support with a primary focus on French and EU regulatory and policy matters affecting OpenAI. Advise on legislation, enforcement, business implications, and regulatory engagement; prepare legal analyses, consultation responses, and briefing materials. Support local partnerships, research collaborations, marketing, events, governance, employment, workplace compliance, and office operations while coordinating with specialist legal and policy teams.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Own central FP&A at a high-growth AI company, including the driver-based company model, budgeting, reforecasts, monthly reporting, board materials, and capital allocation analysis. Build planning processes in Pigment, consolidate inputs across functions, and provide actionable financial recommendations to executives and the board. The role requires hands-on financial modeling, commercial judgment, unit economics expertise, planning-tool experience, SQL, and data warehouse fluency.

Leads EMEA AI, paid media, digital marketing, website, virtual event, email, and nurture strategies. Manages four direct reports, agencies, budgets, forecasting, campaign planning, AI marketing adoption, localized digital experiences, GEO initiatives, and performance optimization. Partners with global and regional stakeholders to improve engagement, conversion, pipeline contribution, and customer lifecycle outcomes.

Lead a small engineering team building and scaling production agentic AI and LLMOps systems. Design LLM orchestration, tool calling, MCP, RAG, evaluation, observability, and governance standards. Own a Databricks and MLflow-based ML platform, deploy open-weight models on Azure Kubernetes Service, optimize inference, and collaborate with product, data science, security, SRE, and cloud operations teams. Coach engineers while remaining hands-on with coding, architecture, prototyping, and technical initiatives.

Own Photoroom’s AI platform, including the AI gateway, safeguards, evaluations, cost controls, observability, no-code tooling, and agentic workflows. Prioritize platform capabilities for internal product teams, partner with engineering and ML research, translate model advances into reusable products, and use adoption, latency, cost, and evaluation data to guide decisions. The role requires strong product judgment, autonomous execution, platform experience, and production experience shipping agentic or model-backed products.

Develop and manage B2B content for priority industries, including white papers, reports, customer stories, articles, landing pages, and campaign assets. Drive SEO visibility, content distribution, repurposing, acquisition, and conversion performance. Collaborate with field marketing, SEO, lifecycle, social, PR, sales, and subject-matter experts while managing content projects end to end and optimizing performance against KPIs.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Build and optimize distributed ML training infrastructure for humanoid robot foundation models across thousands of GPUs. Responsibilities include large-scale pretraining, RL and post-training systems, GPU and memory optimization, accelerated kernels, data movement, numerical debugging, deterministic execution, checkpointing, fault tolerance, observability, and reproducibility. The role partners closely with AI researchers to convert experimental code into reliable, scalable training systems.

Manages revenue excellence initiatives focused on process optimization, standardization, technology adoption, and AI-powered revenue management tools. Partners with revenue, commercial, finance, digital, and technology teams to design, deploy, and improve AI-assisted workflows. Drives change management, revenue culture transformation, data-driven decision-making, and adoption of global revenue processes across hotel operations.

Designs end-to-end GPU and networking reference architectures for NVIDIA AI Cloud Partners. Supports customer opportunities, manages technical accounts, delivers demonstrations, proofs of concept, roadmap presentations, training, and technical project management. Troubleshoots networking and system performance issues, supports complex deployments, and provides product feedback to engineering. Requires expertise in data centers, cloud applications, networking protocols, Linux, PCIe, NICs, and hardware architecture, with approximately 20% travel.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Own Mendo’s AI roadmap and technical direction while remaining hands-on with model training, fine-tuning, evaluation, RAG, embeddings, MLOps, and production operations. Establish AI quality and engineering standards across squads, optimize cost, latency, and performance, mentor engineers, and help grow the AI practice. The role focuses on proprietary on-device language models, production AI features, and enterprise-scale GenAI systems.

Leads global go-to-market strategy and commercial execution for IFS’s AI Optimization portfolio, including PSO, MSO, and WISE. Owns portfolio positioning, proposition development, sales plays, pipeline growth, strategic deal support, and revenue enablement. Partners with Product, Sales, Marketing, Customer Success, and Partner teams to improve market penetration, win rates, forecasting, and customer adoption while translating complex AI and optimization capabilities into compelling commercial narratives.

Build and operate Python backend services and AI-agent pipelines that crawl, process, validate, and index legal documents. Design retry-safe workflows, APIs, database schemas, migrations, lineage tracking, evaluation gates, and observability. Collaborate with legal experts and engineering teams to onboard new data sources, improve extraction quality, control processing costs, and resolve production failures.

Develop and optimize generative AI applications for consulting clients across industries. Responsibilities include prompt engineering, RAG, semantic search, model selection and fine-tuning, multimodal AI, production monitoring, scalability, security, compliance, and responsible AI practices. The role collaborates with data scientists, platform engineers, architects, and customers to design bespoke solutions and evaluate emerging AI frameworks and techniques.