Top Artificial Intelligence Jobs in France

Design and deploy production-scale AI systems, develop and optimize machine learning and neural network models, work with large language models, refine prompt engineering techniques, and use OpenAI and Anthropic APIs. Collaborate with interdisciplinary teams to build AI applications for the finance sector while keeping current with industry developments.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Own the vision, roadmap, architecture, and hands-on delivery of IFS’s Internal Developer Platform. Build developer portals, service catalogs, self-service scaffolding, golden paths, CI/CD integrations, authentication, authorization, and observability workflows. Drive adoption through metrics, feedback, and developer research while partnering with infrastructure, IAM, SRE, and distributed product teams. The role requires production Kubernetes operations, enterprise-scale platform ownership, production AI application experience, and strong technical leadership without direct management responsibility.

Leads DentalMonitoring’s global communications strategy, brand consistency, digital platforms, marketing campaigns, sales collateral, training and education programs, public relations, public affairs, KOL initiatives, and internal communications. Manages communication and marketing professionals while partnering with regional marketing, product, and sales teams to coordinate launches and campaigns worldwide.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Supports Finance Technology initiatives involving AI use cases, AI solution development, data integration, process automation, reporting, analytics, and enterprise system transformation. The apprentice assists with proofs of concept, data flow monitoring, testing, documentation, deployment, and data quality improvements while collaborating with Finance, Technology, Data, and Business teams.

Contribute to AI-powered forecasting and optimization tools for revenue management. Analyze optimization algorithms, monitor decision data, develop performance KPIs, validate new features, write product tickets, and collaborate with Data Science, Machine Learning, Software, and Product teams. Share findings in product discussions and help deliver improvements used by transport and events clients.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Build reliable multi-agent AI systems for real-estate workflows. Responsibilities include developing Python delivery pipelines, context assembly, tool orchestration, verification, report generation, data extraction, evaluation harnesses, observability, regression datasets, and production-quality reliability. The intern will collaborate with architects, clients, and domain experts while working with regulatory, financial, market, and geospatial data.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Leads consultative discovery, technical qualification, solution design, executive presentations, and sales campaigns for AspenTech industrial software. Partners with sales teams to align technology with measurable customer value, develops industry-specific messaging, engages senior executives, provides product feedback, coaches sales personnel, and represents the company at industry events. Requires extensive industrial software or solution consulting experience, technical domain expertise, multilingual fluency, and European work authorization.

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.

Six-month AI and Data internship in AlixPartners’ Performance & Technology team. Responsibilities include identifying AI opportunities, prototyping Generative AI use cases, integrating LLMs, engineering prompts and agents, processing data with cloud technologies, developing Python-based data science solutions, and creating business dashboards. The role involves client-facing consulting, collaboration with technical and non-technical stakeholders, frequent travel in France, and work across office and remote environments.

Manage key digital-native accounts in France, driving enterprise AI opportunities from pipeline generation through deployment and revenue realization. Develop account strategies, lead complex deal cycles, forecast consumption revenue, engage C-level stakeholders, and collaborate with solutions, engineering, marketing, finance, and product teams. Analyze market and account data, support customer events, contribute to product strategy, and help recruit and onboard teammates.

Own and improve cashback offer operations across merchant setup, affiliate tracking, coupons, card-linked integrations, gift cards, and merchant performance. Analyze operational data, build health dashboards, investigate failures, design scalable processes, automate repetitive work with AI and Retool, manage outsourced resources, and collaborate with Product, Engineering, and commercial teams to resolve issues and improve reliability.

Designs and maintains scalable cloud data pipelines, data models, ETL processes, machine learning workflows, and AI-ready datasets. The role focuses on data quality, governance, observability, monitoring, CI/CD, containerized deployments, and technical standards. It collaborates with business and technical stakeholders to translate requirements into solutions while applying generative AI technologies and supporting Sanofi’s commercial digital transformation.

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.

Deploys and operationalizes AI platforms within enterprise client environments. Responsibilities include designing AI architectures, building production agentic solutions, integrating identity, data, security, governance, and workflows, and owning reliability, adoption, scalability, and business value. The role involves rapid prototyping, production deployment, client workshops, executive stakeholder engagement, reusable accelerator development, and enabling client teams to operate solutions independently.

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.

Build and maintain software for clinical AI medical devices across radiology modalities. Develop features, integrate systems, validate and route requests, assemble results, and support production services. Write and review code, create automated and manual tests, and own features through deployment. Ensure quality, regulatory, cybersecurity, documentation, and risk-analysis compliance while collaborating with product, service, and delivery teams.

Leads high-value consulting engagements for major manufacturing accounts, shaping strategic change agendas across business and IT. Builds CXO relationships, drives business development, revenue, margins, and customer satisfaction, and oversees complex multidisciplinary delivery. The role also develops consulting talent, advances innovation, contributes to corporate strategy, and establishes thought leadership in manufacturing and technology transformation.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.

The Senior AI Agentic Engineer will oversee product strategy and architecture for AI projects, lead cross-functional teams, and manage client interactions across financial services.