Job SummaryWe 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.What You’ll DoEmbed with business teams to deeply understand workflows, pain points, and opportunities for automation and optimizationDesign and build AI‑powered tools that improve internal productivity across functions such as finance, HR, operations, sales, and marketingRapidly prototype and iterate using modern AI/ML technologies (e.G., LLMs, Copilots, automation pipelines)Deploy solutions in production, ensuring reliability, usability, and measurable impactBridge technical and non‑technical teams, translating business problems into scalable engineering solutionsDrive end‑to‑end delivery from problem discovery to implementation, rollout, and adoptionCreate reusable frameworks and platforms to accelerate future AI deployments across the organizationOperate globally, collaborating with distributed teams and delivering solutions that scale across regionsCore Skills7–10+ years of experience in software engineering, machine learning, or applied AIStrong experience designing and deploying production‑grade systems in cloud environmentsExperience building and deploying AI/ML systems, ideally with LLMs or generative AIExperience in building, orchestrating, and monitoring agentic/multi‑agentic AI workflowsAbility to work across the stack (APIs, data pipelines, front‑end interfaces when needed)Deep understanding of system design, distributed systems,



and scalable architecturesSolid system design skills with a focus on scalability, reliability, and securityKnowledge of data engineering and analytics workflowsExperience working in general, cross‑functional teamsFamiliarity with governance, security, and compliance considerations for enterprise AIProblem‑Solving & MindsetProven ability to navigate ambiguity and move quickly in fast‑paced environmentsStrong product and user mindset focused on delivering practical, impactful solutionsExcellent communication skills; able to work directly with stakeholders across all levelsHigh ownership and bias for action, ability to support multiple workstreams in parallelStrong experience in mentoring and guiding team members to make good decisionsNice to HaveFamiliarity with enterprise systems (ERP, CRM, workflow tools)Experience across Azure AI, Microsoft Copilot, and the broader Microsoft ecosystemExperience implementing AI tools, GenAI services, building and orchestrating agentic AI workflows in real‑world business processesExperience in forward‑deployed, solutions engineering, or consulting‑style rolesBackground in process optimization, automation, or digital transformation initiativesWhy Join UsHigh impact: Your work will directly improve how the company operatesSpeed & autonomy: We are an agile team that ships quickly and iterates continuouslyBroad exposure: Work across all business functions and geographiesCutting‑edge tech: Build with the latest AI technologies and shape how they are applied internallyOwnership:



Drive projects end‑to‑end and see immediate adoption of your workSuccess in This Role Looks LikeIdentifying and delivering high‑impact AI use cases that reduce manual work and increase efficiencyShipping production‑ready solutions in weeks, with strong adoption across teamsBuilding scalable, reusable AI capabilities across the enterpriseActing as a trusted technical partner to both engineering and business stakeholdersSalary€55,300–€78,800 gross per year. This role may also be eligible for a performance‑based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender‑neutral and objective criteria.BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee‑Assistance‑Program (EAP)Our Commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.Recruitment Process AI ToolsNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks. These tools are intended to improve efficiency and support fair and consistent evaluation based on job‑related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. If you have questions, require accommodations, or wish to request a human review when permitted by law, please contact your local HR representative.#J-18808-Ljbffr

📌 Ai Principal Engineer (Madrid)
🏢 Niq
📍 Madrid