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• 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

• 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.

• Build trusted, long-term relationships with customers in the Automotive & Manufacturing sector
• Understand customers' business challenges, strategic priorities, and transformation ambitions

Leading IT compliance, audit, and GRC activities in accordance with BSI IT-Grundschutz, ISO 27001, and applicable regulatory requirements...

• Lead enterprise-wide transformation programs and strategic initiatives that enable customers on their journey toward the Autonomous Enterprise
• Implement AI solutions within SAP systems to enhance business processes and decision-making

• Support customers on their transformation journey to the Autonomous Enterprise
• Architect and implement AI solutions within SAP systems to enhance business processes and decision-making
• Identify high-value use cases and design AI solutions that deliver proven business outcomes

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.

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....

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

• 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.

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

Helping clients ensuring their IT systems, processes, and operations align with leading professional standards, industry frameworks, and regulatory requirements (ITIL, COBIT, ISO 27001, ISO 27701, ISO 22301, DORA, NIS2, NIST)....

• 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

• Design and implementation of cloud infrastructure for SaaS and PaaS usage according to regulatory requirements and industry best practices
• Develop the hybrid cloud platform architecture blueprint (SAD), including network, identity, and security for Azure and AWS landing zones

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards