Software Systems Engineer

Overview In this role you own the technical delivery of AI solutions, ensuring they are robust, scalable, and production-ready. This role blends 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. Your contribution to KPMG - Coordinate and develop within a high-performing AI team, fostering inclusion, learning, and technical excellence. - Define engineering approaches and architectures for scalable, secure, and maintainable AI solutions. - Evaluate and adopt tools and frameworks to meet product needs. - Translate product requirements into technical deliverables and manage planning, resourcing, and execution on Azure. - Oversee delivery quality, risk, and timelines. - Conduct architecture and code reviews, resolve complex challenges, and optimize ML pipelines and MLOps workflows. - Build reusable services and stay updated on ML, GenAI, and infrastructure best practices. - Define coding standards, CI/CD pipelines, testing protocols, and documentation. - Ensure compliance with privacy, security, and responsible AI guidelines while promoting operational reliability. - Develop reusable engineering patterns and blueprints to scale AI adoption. - Share knowledge through documentation, training, and community-building. This is what makes you successful - Bachelor's or Master's in Computer Science, Machine Learning, or related field. - 3+ years in AI/ML engineering. - Strong programming in Python and proficiency with ML frameworks (PyTorch, TensorFlow). - Hands-on expertise in Azure AI/ML services (Azure ML, Azure DevOps, AKS). - Practical experience with GenAI/LLMs (prompt engineering, RAG basics). - Proven delivery across the full AI lifecycle: from experimentation to deployment to monitoring. - Strong communication and stakeholder management skills in cross-functional environments. Your benefits Do you have any questions? Do you have any questions? Christos Makridis Experienced Hire Recruiter +41 58 249 26 30 Discover KPMG Become part of our team. Digital Business Technology (DBT) is KPMG's internal technology ecosystem. It employs more than 85+ employees in Switzerland, in addition to outsourced services. The AI CoE team as part of our DBT is a cross-functional group dedicated to driving innovation, best practices, and scalable adoption of artificial intelligence across the organization. This team brings together experts in product management, engineering, data science, and business strategy to define the vision and roadmap for AI-powered solutions. The AI CoE ensures that AI initiatives deliver measurable business value, align with enterprise priorities, and adhere to responsible AI governance. With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG. #J-18808-Ljbffr