AI Engineer

This role partners directly with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. The engineer works hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators, making decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. They also diagnose complex implementation challenges, help customers progress from prototypes to production, and create reusable architectures and playbooks.

This role designs and implements AI systems to support The Information's products, including Deep Research and data tools. The architect applies expertise in AI/ML, data engineering, and scalable architecture to enhance the company's technology stack.

This role focuses on developing and maintaining the AI platform, supporting machine learning model development and deployment. The engineer will contribute to building robust infrastructure for AI workloads in defense applications.

This role builds and implements AI solutions, including machine learning models and AI-driven applications. It involves working with clients to integrate AI into their business processes, requiring strong ML engineering skills and client-facing communication.

This Senior Data & AI Architect role designs the operating model and target architecture for a Data & GenAI Center of Excellence, applying Data Mesh principles. The architect defines the target data platform architecture on cloud and Databricks, including GenAI components, and runs make-or-buy analyses and vendor selections. Responsibilities include gathering business requirements, designing data products, and acting as design authority during implementation.

This Manager role leads GenAI strategy and architecture projects, designing end-to-end solutions that balance business value, technology choices, and economics. The manager will own architecture design for RAG, agentic systems, and copilots, guide development teams, and present recommendations to C-level stakeholders. Key responsibilities include managing project plans, budgets, and risks, while orchestrating make-buy-customize decisions and assessing trade-offs like TCO, lock-in, and scalability.

This role is a junior digital and data marketing consultant position at Artefact's Paris office, focusing on delivering data-driven marketing strategies for clients. The consultant will support project execution, including client interviews, workshops, roadmap development, performance analysis, and strategic recommendations across paid social, paid search, programmatic, and retail media channels. The role requires a business school background (Bac+4/5) and a strong interest in digital marketing, with opportunities for professional growth and a competitive salary package.