AI Principal Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox AI Principal EngineerFull-timeCareer Site Team: Technology Compensation: EUR 55300 - EUR 78800 - yearlyCompany DescriptionWe are looking for a Principal AI Engineer to join our Enterprise Productivity team, an agile, high-impact group building AI-driven solutions that transform how our company operates. In this role, you will work at the intersection of AI, engineering, and business operations, partnering directly with teams across the company to identify inefficiencies, rapidly prototype solutions, and deploy scalable AI tools that drive measurable impact. You will operate globally, engage with diverse stakeholders, and tackle high-leverage problems that improve how we work every day. This is a fast-moving, hands-on role for someone who thrives in ambiguity, enjoys solving real-world problems, and wants to see their work adopted quickly at scale.Job DescriptionWhat You’ll Do Embed with business teams to deeply understand workflows, pain points, and opportunities for automation and optimization Design and build AI-powered tools that improve internal productivity across functions such as finance, HR, operations, sales, and marketing Rapidly prototype and iterate using modern AI/ML technologies (e.g., LLMs, Copilots, automation pipelines) Deploy solutions in production, ensuring reliability, usability, and measurable impact Bridge technical and non-technical teams, translating business problems into scalable engineering solutions Drive end-to-end delivery from problem discovery to implementation, rollout, and adoption Create reusable frameworks and platforms to accelerate future AI deployments across the organization Operate globally, collaborating with distributed teams and delivering solutions that scale across regions QualificationsWhat We’re Looking For Core Skills 7–10+ years of experience in software engineering, machine learning, or applied AI Strong experience designing and deploying production-grade systems in cloud environments Experience building and deploying AI/ML systems, ideally with LLMs or generative AI Experience in building, orchestrating, monitoring agentic/multi-agentic AI workflows Ability to work across the stack (APIs, data pipelines, front-end interfaces when needed) Deep understanding of system design, distributed systems, and scalable architectures Solid system design skills with a focus on scalability, reliability, and security Knowledge of data engineering and analytics workflows Experience working in global, cross-functional teams Familiarity with governance, security, and compliance considerations for enterprise AI Problem-Solving & Mindset Proven ability to navigate ambiguity and move quickly in fast-paced environments Strong product and user mindset focused on delivering practical, impactful solutions Excellent communication skills; able to work directly with stakeholders across all levels High ownership and bias for action, ability to support multiple workstreams in parallel String experience in mentoring and guiding team members to make good decisions Nice to Have Familiarity with enterprise systems (ERP, CRM, workflow tools) Experience across Azure AI, Microsoft Copilot, and the broader Microsoft ecosystem Experience implementing AI tools, GenAI services, building and orchestrating agentic AI workflows in real-world business processes Experience in forward-deployed, solutions engineering, or consulting-style roles Background in process optimization, automation, or digital transformation initiatives Additional InformationWhy Join Us High impact: Your work will directly improve how the company operates Speed & autonomy: We are an agile team that ships quickly and iterates continuously Broad exposure: Work across all business functions and geographies Cutting-edge tech: Build with the latest AI technologies and shape how they are applied internally Ownership: Drive projects end-to-end and see immediate adoption of your...