Senior AI Engineer - AI Prototyping Lab

What You'll DoAI Innovation & PrototypingDrive the design, development, and evolution of the AI Prototyping Lab, enabling engineers, business teams, and innovators to rapidly experiment with emerging AI technologies in a secure, scalable, and enterprise-ready environment.Lead the creation of prototypes, proof-of-concepts, and pilot solutions that validate business opportunities and accelerate innovation.Evaluate emerging AI technologies, frameworks, development patterns, and tooling ecosystems to identify opportunities that improve productivity, innovation, and business outcomes.Transform innovative concepts into reusable platform capabilities, accelerators, and scalable enterprise solutions.Promote AI-native development practices and experimentation-driven engineering approaches across the organization.Agentic AI EngineeringDesign and build Agentic AI solutions that leverage Large Language Models, enterprise systems, APIs, tools, and knowledge sources to solve complex business challenges.Develop AI Agents, multi-agent workflows, MCP-enabled integrations, orchestration patterns, reasoning frameworks, memory strategies, and AI-assisted automation capabilities.Establish reusable agent engineering patterns, frameworks, and platform services that accelerate the adoption of Agentic AI across the organization.Drive best practices for AI governance, observability, security, scalability, and responsible AI implementation.Collaborate with engineering teams to build scalable and maintainable enterprise-grade AI solutions.Full-Stack Engineering & Platform DevelopmentDesign and develop modern cloud-native applications across frontend, backend, integration, and platform layers.Build scalable APIs, microservices, reusable services, developer tooling, SDKs, and self-service capabilities that improve developer productivity and platform adoption.Deliver intuitive user experiences that simplify the development and consumption of AI-powered capabilities.Implement secure, resilient, and maintainable architectures aligned with enterprise standards and engineering best practices.Contribute hands-on across the full technology stack, from user interfaces to platform services and integrations.Product Ownership Support & Strategic CollaborationPartner closely with Product Owners and Product Managers to shape the vision, roadmap, and strategic direction of the AI Prototyping Lab.Contribute technical expertise during product discovery activities, helping evaluate opportunities, validate assumptions, and identify innovative AI-driven solutions.Support backlog refinement, feature prioritization, roadmap planning, and release discussions by balancing business value, technical feasibility, user experience, and operational considerations.Act as a trusted technical advisor during product decision-making and help define scalable implementation approaches for new platform capabilities.Collaborate with stakeholders across engineering, architecture, security, and business teams to ensure platform investments deliver measurable business outcomes.Platform Growth & Continuous ImprovementDrive platform adoption through improved onboarding experiences, developer enablement initiatives, reusable templates, and self-service capabilities.Establish continuous feedback loops with users and stakeholders to refine platform capabilities, priorities, and adoption strategies.Champion engineering excellence, automation, knowledge sharing, and continuous learning within the team.Foster a culture of experimentation, innovation, collaboration, and rapid learning.What You BringQualificationsBachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline.8+ years of experience in software engineering, platform engineering, enterprise application development, or AI engineering.Demonstrated experience delivering complex technical solutions within cloud-native and enterprise technology environments.Strong passion for innovation, emerging technologies, and practical application of AI to solve business challenges.Functional ExpertiseStrong understanding of enterprise AI adoption patterns and how AI can be leveraged to improve business processes, developer productivity, and user experiences.Proven ability to collaborate effectively with Product Owners, Product Managers, Architects, Engineers, and Business Stakeholders.Experience translating business opportunities into scalable technical solutions that deliver measurable outcomes.Ability to balance innovation, technical feasibility, governance requirements, user experience, and operational excellence when designing solutions.Strong communication and stakeholder engagement skills with the ability to influence both technical and non-technical audiences.Technical ExpertiseStrong Full-Stack Development experience across frontend, backend, APIs, integrations, and cloud-native architectures, with a proven ability to deliver scalable enterprise applications and platform capabilities.Deep expertise in Agentic AI engineering, including AI Agents, multi-agent systems, MCP-based integrations, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and intelligent automation solutions.Proven experience building Generative AI platforms, reusable services, SDKs, developer tooling, and self-service capabilities that accelerate AI adoption and developer productivity.Strong understanding of enterprise AI architecture, governance, security, observability, and responsible AI principles, with the ability to transform prototypes into production-ready solutions.Experience with modern software engineering, DevOps, and platform engineering practices, including CI/CD, automation, microservices, containerization, Kubernetes, and cloud-native development.Familiarity with enterprise AI platforms such as SAP AI Core, SAP AI Launchpad, SAP BTP, Azure AI Services, AWS AI Services, or similar technology ecosystems.Demonstrated ability to evaluate emerging technologies, balance technical feasibility with business value, and drive innovation through rapid experimentation and delivery.Leadership & CollaborationDemonstrated ability to lead complex technical initiatives from ideation through implementation, adoption, and continuous improvement.Proven experience mentoring engineers, conducting code reviews, and promoting engineering best practices, quality standards, and continuous learning within development teams.Strong stakeholder engagement skills with the ability to collaborate effectively across engineering, architecture, product management, security, and business teams.Recognized for technical leadership, ownership, accountability, and delivering high-quality outcomes in fast-paced innovation environments.Success ProfileThe ideal candidate combines deep software engineering expertise, strong Full-Stack Development capabilities, advanced Agentic AI knowledge, and a product-oriented mindset. They are passionate about building innovative AI-powered experiences, enabling others through reusable platforms and tooling, mentoring engineering teams, and partnering with Product Owners to shape roadmap decisions, prioritize investments, and deliver measurable business value through rapid experimentation and innovation.Meet your teamJoin SAP’s Enterprise AI CoE — where innovators shape, govern, and scale AI. We drive the latest AI solutions, empower colleagues worldwide, and set the standard for responsible, enterprise-ready AI.