Engineering manager

Engineering Manager - AI Services and SolutionsThe Engineering AI Team Lead owns the technical delivery of AI solutions, ensuring they are robust, scalable, and production-ready. This role blends leadership, hands-on engineering, and architectural oversight. You will mentor engineers and data scientists, set technical standards, and ensure that product requirements are translated into reliable solutions. Beyond delivery, you will help scale AI adoption across the firm by building engineering patterns, reusable services, and blueprints to drive adoption and scale AI across the firm.ZurichAs soon as possibleYour contribution to KPMGEngineering Coordination & DevelopmentCoordinate and develop within a high-performing team of AI engineers and data scientists.Foster a culture of inclusion, continuous learning, and technical excellence.Technical Strategy & ExecutionDefine the engineering approach and architecture for AI solutions and services.Evaluate and adopt the right tools and frameworks to meet product requirements.Ensure solutions are designed for scalability, security, and maintainability.Project DeliveryTranslate product requirements into technical deliverables.Manage planning, resourcing, and execution of engineering work on Azure.Oversee delivery quality, risk management, and timelines.Hands-On EngineeringContribute to architecture and code reviews, and resolve complex technical challenges.Build and optimize ML pipelines, reusable services, deployment workflows, and MLOps/Dev Ops automation.Stay up to date with ML, Gen AI, and infrastructure best practices.Governance & Best PracticesDefine coding standards, CI/CD pipelines, testing protocols, and documentation.Ensure compliance with privacy, security, and responsible AI guidelines.Promote operational reliability and maintainability.Enablement & AdoptionDevelop engineering services, patterns, and blueprints to drive adoption and scale AI across the firm.Share technical knowledge through documentation, training, and community-building.Enable reusability and consistency of AI solutions across teams.This is what makes you successfulBachelor's or Master's in Computer Science, Machine Learning, or related field.5+ years in AI/ML engineering, with 2+ years in a leadership role.Strong programming in Python and proficiency with ML frameworks (Py Torch, Tensor Flow).Hands-on expertise in Azure AI/ML services (Azure ML, Azure Dev Ops, AKS).Practical experience with Gen AI/LLMs (prompt engineering, RAG basics).Proven delivery across the full AI lifecycle: experimentation → deployment → monitoring.Strong communication and leadership skills in cross-functional environments.Your benefitsWe offer a range of generous benefits designed to help you thrive with us and benefit for life. Discover them below.Flexible Work:We want to give you the support and flexibility to balance your career with life outside of work. You can benefit from hybrid working, flex time options, the opportunity to work from anywhere (for up to 10 working day per calendar year) and generous parental leave.Our commitment:Quality and integrity are key at KPMG to inspire confidence and drive change. We recognize our business's wider impact and commit to trustworthy services, with a focus on ESG (Environmental, Social, and Governance) matters for clients and employees.Come as you are:We're committed to an inclusive, diverse, and equitable workplace. Our Inclusion, Diversity and Equity (IDE) values are embedded in our policies and interactions. Join a culture that values uniqueness and diverse views. Connect with peers in communities like KNOW & KNOW Young, Pride, and Internationals at KPMG.Unlock your potential:We offer personalized training programs, a wide range of courses, and tailored career paths designed to help you reach your full potential. Our offer includes specialized courses, mentorship programs, upskilling trainings the People Manager Academy and much more.Inspired to innovate:As part of KPMG, you join other highly qualified and motivated professionals in an inspiring entrepreneurial environment. A clear mindset and strong opinions are not only encouraged at KPMG, but expected. When it comes to ideas, quality beats hierarchy.