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• Design, develop, and maintain scalable web applications and backend services to support trading operations
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions

• Design, develop, and maintain scalable web applications and backend services to support trading operations
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

UX/UI Designer Threema is the world's best-selling secure messenger for both private users and businesses. Since 2012, we have been working tirelessly to ensure that our users can communicate freely without worrying about their privacy. Our growing user base includes millions of private customers...

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Enable teams to own quality end-to-end
• Build a scalable QA platform and operating model
• Drive automation, AI adoption, and engineering best practices
• Define and implement a scalable QA operating model across multiple teams
• Establish clear QA standards, processes, and governance

Engineering Leadership: Lead, mentor, and manage distributed engineering teams across European hubs (including Norway, Finland, and Romania), overseeing performance and professional growth....

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

Drive the product strategy for the Agentic Offerings Domain (AI Hub and Agent Gateway), focusing on Discoverability and conversion, Agent governance and control and Agent Marketplace...

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

Lead the lifecycle of ICT risk assessments, from initial risk identification and execution to final remediation monitoring....

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribution to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• Put people first and value human interaction over process.
• Embrace radical change and aren't scared of ambiguity or the unknown.
• Make a positive impact on individuals, teams, and the products they build.

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...