Top Artificial Intelligence Jobs in Paris

Partners with sales, engineering, product, and prospective clients to lead technical discovery, demonstrations, proof-of-concepts, workshops, RFP responses, solution design, architecture documentation, and sales-cycle technical support. Translates customer requirements into scalable solutions, advises stakeholders on feasibility and security, influences product roadmaps, and supports transitions from pre-sales to implementation.

Lead and coach a team of Outcomes Architects responsible for workflow adoption, value realization, renewals, expansion, and at-risk account recovery. Build operating cadences, inspect customer and commercial outcomes, hire and develop team members, manage performance, and partner with Sales, Solutions Consulting, Services, Support, Product, and RevOps. Ensure strong workflow, product, AI, and customer-outcome execution across the team.

Develop new business opportunities with hospitals, university hospitals, healthcare groups, regional health agencies, and other healthcare organizations across France. Understand strategic and operational needs, build relationships with senior decision-makers, and collaborate with technical teams on innovative proposals. Promote InterSystems HealthShare, TrakCare, and IRIS for Health solutions covering interoperability, electronic medical records, healthcare data platforms, and artificial intelligence.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Leads and grows an engineering team building AI-powered developer tools. Owns technical direction, architecture, hiring, career development, roadmap shaping, delivery execution, service quality, and operational ownership. Partners with Product and Design to turn ambiguous early-stage product problems into shippable solutions while improving developer cycle time, correctness, reliability, and developer experience.

Automate cybersecurity compliance and GRC workflows, support ISO 27001, ISO 27018, and SOC 2 certifications, and help develop AI governance. The role involves scripting evidence collection, monitoring controls, maintaining the ISMS, assessing AI tools and vendors, tracking regulatory developments, and embedding security requirements into product and engineering projects. Responsibilities include reviewing AI-related threats such as prompt injection, LLM data leakage, and model access control while collaborating with technical and business stakeholders.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

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.

The Engineering Manager will lead the Evaluation & Annotation team, define technical roadmaps, manage engineers, and enhance AI infrastructure and processes.

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 launch a confidential AI, finance, and business transformation venture from scratch. The Founding CEO will define the proposition, identify customers and partners, sell and personally deliver initial consulting engagements, establish operating processes, validate a profitable business model, and eventually recruit and lead a team. The role requires balancing commercial development, client delivery, strategic planning, and hands-on execution while working closely with iBanFirst’s Founder & CEO.

Develop and execute Microsoft’s government affairs and public policy strategy in France. Monitor political, legislative, and regulatory developments; build relationships with government and institutional stakeholders; represent Microsoft in policy forums; create advocacy strategies and policy materials; manage coalitions, external partnerships, budgets, and cross-functional initiatives; and advise executives on political and regulatory engagement.

Leads the design, automation, and continuous improvement of CMC regulatory processes, systems, reporting, and data management. Oversees Veeva RIM capabilities, submission readiness, compliance metrics, regulatory intelligence, strategic planning, templates, training, and cross-functional collaboration. Drives digitalization, organizational transformation, process standardization, and cultural change across global regulatory CMC activities while coaching teams and supporting resource planning.

Lead strategic enterprise account acquisition and growth in France’s financial services sector. Develop territory strategies, build C-level relationships, drive new business and expansion, manage sales pipelines, negotiate complex agreements, and coordinate internal delivery teams. Translate cloud and AI solutions into business outcomes while reporting account activity and quarterly performance. The role requires enterprise sales expertise, financial services knowledge, French and English fluency, and familiarity with Salesforce and LinkedIn Sales Navigator.

Manages end-to-end global transparency reporting across EMEA, including data collection, validation, submissions, reconciliations, governance, risk assessments, audit readiness, and remediation. Leads compliance reporting teams, monitors regulatory changes, advises cross-functional stakeholders, and drives process improvements. Oversees reporting systems, automation, analytics, visualization, training, and change management while improving data quality, scalability, and compliance outcomes.

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.

Owns the end-to-end logistics operation for connected medical devices and telemonitoring billing. Responsibilities include order fulfillment, deliveries, returns, inventory, billing coordination, reimbursement data quality, process documentation, automation, team leadership, and logistics-chain improvement. The manager will build scalable operational processes, lead cross-functional projects with Customer Success, Sales, Finance, and Tech, and serve as the escalation point for complex cases.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

This is a spontaneous application for various roles at Streem Energy, a company providing SaaS solutions in renewable energy. Enthusiastic applicants can submit their resumes.

Design, train, optimize, and deploy compact, high-throughput anomaly-detection models for streaming telemetry. Build training-data pipelines, integrate models into production with GPU/latency/cost constraints, create interpretability tools and agentic validation layers, and maintain/monitor systems including on-call rotation.

Lead a team of engineers and applied scientists to build cost-efficient specialized AI models and security capabilities, own end-to-end delivery from research to production, define evaluation pipelines and success criteria, collaborate with product and research, and mentor/hire to grow the team.

As an AI Research Engineer, you will work with research scientists to build infrastructure, implement models, and enhance AI capabilities in systems for production code repair and observability.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

The Director of Engineering for Mission Intelligence will manage engineering teams, oversee recruitment, develop standardized processes, and contribute to organizational strategy while remaining technically engaged with projects.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.