Top Artificial Intelligence Jobs in Paris

Design, build, and operate scalable cloud data pipelines and data products to provide AI-ready data. Implement ETL/ELT, data modeling, MLOps, observability, and governance; automate ingestion and monitoring; enable reproducible ML deployments; drive engineering best practices, CI/CD, containerized deployments, and mentor team members.

Own technical delivery of Pigment’s solver pilot program and build production-grade optimization capabilities. Formulate supply chain optimization models, configure customer pilots, develop Python models with third-party solvers, benchmark results, support implementations, and collaborate with Engineering, Data Science, and solver vendors on production integration.

Designs and deploys enterprise AI-ready data platforms, data lakes, lakehouses, warehouses, pipelines, integrations, and sovereign data spaces. Works directly with customers to assess data ecosystems, identify AI opportunities, define transformation roadmaps, and deliver production-ready solutions and proofs of value. Requires strong expertise in distributed data systems, AI architectures, interoperability standards, cloud technologies, automation, CI/CD, DataOps/MLOps, security, governance, and consulting.

Own the vision, roadmap, and delivery of Implicity’s internal software ecosystem. Lead the back-office platform revamp, define agentic AI tools using Claude, MCP, and LLM applications, scale N8N automation workflows, and drive employee adoption. Conduct cross-functional discovery, translate operational needs into prioritized product initiatives, establish quarterly OKRs, and measure productivity impact across Engineering, Operations, Sales, Clinical, Regulatory, Customer Success, and Data teams.

The internship involves customer onboarding, project management, improving internal processes, and enhancing communication within teams to support AI voice agent integration in healthcare.

Lead Mendo's AI efforts end-to-end: research, fine-tune, and ship LLM-based features (including on-device SLMs); build evaluation harnesses and optimize cost/latency/quality; power analytics and RAG-based recommendations; set AI practices, tooling, and playbooks; mentor and prepare to grow an AI team.

This role involves defining and managing product strategy for Scibids SSP integrations, developing new optimization models, leading partnerships, and collaborating across teams to embed quality signals in optimization processes.

Own the AI platform product vision, roadmap, and backlog. Partner with business and technical stakeholders to identify and prioritize AI use cases, drive adoption, ensure compliance and governance, measure KPIs, and coordinate delivery of production AI solutions and flagship agents demonstrating business ROI.

Sell Gini, an AI-powered location intelligence SaaS, across France. Own full sales cycle from prospecting to closing for SMB and mid-market, run demos and business cases, pursue upsell/cross-sell with Customer Success, and represent MyTraffic at industry events to grow market presence.

Lead full sales cycle for Gini, an AI-powered location intelligence solution across UK, Nordics, and Germany. Generate pipeline via outbound/inbound, demo product value to stakeholders, close SMB and mid-market deals, and drive upsell alongside Customer Success while representing MyTraffic at industry events.

Design and deploy self-hosted LLM infrastructure and agentic automation across R&D, IT, and operations. Build end-to-end AI workflows, MCP servers and integrations, ensure secure on‑prem deployments, implement observability and iterate on agent performance, and deliver production-ready internal tools.

Serve as a pre-sales applied AI architect partnering with GSIs and cloud providers (AWS/GCP) to develop joint GenAI solutions, codify reference architectures, support strategic customer deals, enable partner developer communities, and provide product feedback to inform roadmap and partner strategy.

Lead and build the marketing operations and agentic AI layer: define production standards for AI agents, deliver production-grade agents for lead scoring/enrichment/prospection/attribution, own martech stack and vendor decisions, report business outcomes to execs and board, hire and run a marketing engineering team, and cut tool costs while ensuring measurable revenue impact.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Support mapping and improving SDLC practices to identify AI-assisted use cases across requirements, development, testing, release, and run. Design risk-aware frameworks, controls, and guidance for responsible AI in delivery. Run experiments, prepare playbooks, KPIs, and communications, and collaborate with project managers, architects, developers, security, and data/AI teams to accelerate IT delivery while preserving quality, security, and governance.

Lead AlixPartners' AI Transformation practice in France: define AI strategy, identify high-value use cases, prototype and deploy AI solutions (PoCs/MVPs), drive adoption, measure business impact, build methodologies, support business development and mentor colleagues.

Twelve-month apprenticeship supporting internal digital change and AI awareness communications. Drafts and formats English content, manages intranet and Viva Engage communities, assists event production (webinars, townhalls), creates visuals and short videos, and helps simplify AI topics for non-expert employees while contributing to editorial planning and communication workflows.

Build and own internal AI platform surfaces and infrastructure end-to-end: Cortex UX, platform services, deployment pipelines, observability, governance, and developer tooling to enable teams and agents to build and operate AI-powered features.

Lead end-to-end implementations of QVAC-based AI deployments, act as primary client contact, translate business needs into deployment strategies, coordinate cross-functional teams, define roadmaps and governance, track multiple concurrent projects, and produce executive reporting and documentation for production rollouts.

Design and run AI-enhanced sourcing campaigns, maintain structured talent pipelines in Google Workspace, conduct market research and competitor mapping, automate repetitive tasks, ensure accurate data and excellent candidate experience, and evolve sourcing strategies using free LLM and automation tools.

Lead end-to-end deployments of LLM-powered autonomous agents into enterprise workflows, build custom integrations and data pipelines, collaborate with R&D to convert field feedback into product features, architect production-ready AI solutions for large clients, and serve as a technical consultant for stakeholders.

Hands-on consultant embedded with client teams to define multi-channel acquisition strategies, run performance tests, design measurement frameworks, and apply AI to campaign optimisation, content production, automation, and reporting. Drive implementation, translate data into recommendations, and build scalable, data-driven marketing operations for PE-backed and high-growth businesses.

Lead design and delivery of AI-native customer experience platforms, combining frontend architecture, LLM ecosystems, retrieval/agent orchestration and production delivery. Mentor a small engineering team, prototype and ship AI-enabled products, advise clients, run discovery and workshops, and drive AI-augmented engineering practices and governance.

Lead multiple engineering teams to deliver scalable, reliable AI search and discovery products. Own delivery, execution, and operational excellence; coach engineering managers; shape roadmaps with Product and Design; drive system design, scalability, and performance; and contribute to senior technology leadership and organizational planning.

Own technical customer relationships for Arango's AI product suite: run discovery, design graph and GraphRAG architectures, build prototypes, guide production deployment, define governance/monitoring, and enable customers while feeding product feedback.