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Track and synthesise Industry AI strategy inputs — continuously monitor market, customer, and technology developments; distil findings into structured strategic insights that keep the Industry AI strategy current, differentiated, and well-grounded in external reality...

• Developing reference architecture and transformation plans promoting SAP best practices and references
• Provide architecture guidance using RISE with SAP methodology and Clean Core principles to ensure that every customer yields value from SAP‘s standard cloud qualities

• Data assets and strategy: Own pre-training, evaluation and metadata assets, shape their strategy and expand them with new data sources.
• Data roadmap and prioritization: Maintain the short- and long-term roadmap, manage the extraction backlog and coordinate dependencies.

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

You will work with the existing utilities product portfolio with focus on market communication in the (intelligent) metering area. The product needs to be enhanced continuously along with legal changes that are defined by the German Federal Network Agency. You will work independently on designing...

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

Provide strategic cloud architecture and technical governance leadership, defining roadmaps, standards, best practices that optimise the landscape and align with business objectives and long-term sustainability....

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

Maintain the DOR strategy, resilience objectives and Critical Important Functions (CIF) methodology, and steer DORA implementation by tracking regulatory requirements and compliance gaps....

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

Drive the product strategy for the Agentic Offerings Domain; AI Hub: focusing on Discoverability and conversion and and AgentSPHERE; focusing on Agent governance and control leading to the creation of an Agent Marketplace...

BUILD AND IMPROVE INTERNAL AUTOMATION SOLUTIONS. You develop and enhance internal tools using C#, .NET, APIs, and SQL Server, helping our teams work smarter and faster. TRANSLATE BUSINESS NEEDS INTO RELIABLE TECHNOLOGY. You take real business processes and turn them into robust workflows, data...

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• Analysis of existing QM processes to identify potential areas for AI applications
• Research and evaluation of AI technologies and tools to support the automation and optimization of QM tasks
• Support in developing and refining AI use cases, e.g. for error analysis and process monitoring

• Drive the development and continuous improvement of CRM and other tools used in Technical Support, with CRM as the primary focus.
• As a member of the CRM Panel, gather and structure requirements and turn them into practical improvements together with process owners and IT.