Senior Technical Architect – Hybrid (Product Platform) (mfd)

Cloud Native & AI-enabled Product with SAP Private Cloud Integration Senior / Principal Level

As Senior Technical Architect Hybrid you own the technical design across our two worlds: the cloud-native AI-enabled product line built on modern architectures and its integration into the SAP Private Cloud platform landscape.
Your focus is approximately 70% Public Cloud product architecture and 30% SAP Private Cloud platform architecture. You are the architect who makes the hybrid seam work ensuring that public cloud innovation and the SAP core evolve as one coherent scalable and future-proof landscape rather than two disconnected estates.

Your Responsibilities

• Cloud-Native Product Architecture (Primary Focus)

Design of microservices architectures on
API-first and event-driven architecture concepts
Definition of service boundaries data flows and integration patterns
Ensuring multi-tenant capability and tenant isolation
Non-functional design: performance scalability resilience cost

• AI Integration in Product

Technical architecture for AI features in the product
Integration of LLMs or AI services within defined guardrails
Design of RAG and agentic patterns over product and platform data
Performance and cost optimization of AI-driven features

• Hybrid Integration Architecture (Public Private Cloud)

Design of the integration layer between cloud-native products and SAP S/4HANA Private Cloud
API and event contracts across the hybrid boundary (OData REST SAP Business Events Event Mesh)
Data ownership consistency and synchronisation patterns across both estates
Identity authorisation and trust propagation across the hybrid landscape

• SAP Private Cloud Platform Architecture (Secondary Focus)

Architectural guidance for S/4HANA Private Cloud extensions and side-by-side scenarios
Enforcement of clean core principles and SAP development standards
Architectural review of SAP-side designs together with the SAP Private Cloud & SCM architect
Awareness of core SCM process flows (SD MM EWM) as they surface into product capabilities

• DevOps & Deployment Architecture

Collaboration with infrastructure and deployment engineers across both estates
Architecture design for containerization and cloud deployment
CI/CD and environment strategy spanning public and private cloud pipelines

• Design Governance

Creation of HLD SDD and TDD up to epic level
Technical review and sign-off responsibility in the Architecture Board
Translation of enterprise guardrails into actionable design standards for teams

Organizational Context

• Embedded in the Engineering function
• Senior / Principal Level
• Part of the Architecture Board
• Operates within guardrails defined by the Enterprise Architect
• Works in close tandem with the Technical Architect Public Cloud and the Technical Architect SAP Private Cloud & SCM

• Several years of experience as an architect in cloud-native environments
• Strongexpertisein
• Experience with microservices and API architectures
• Strong understanding of event-driven systems
• Experience integrating AI into software products
• Cloud architecture experience (containers orchestration scaling)
• Working knowledge of SAP S/4HANA Private Cloud and clean core extension patterns
• Proventrack recorddesigning integration between cloud-native applications and an ERP core
• High technical credibility with senior engineers in both cloud-native and SAP teamsPlus
• Experience with SAP BTP and SAP CAP ( with RISE with SAP orhyperscaler-hosted SAP environments
• Exposure to SCM processes and SAP modules (SD MM EWM)
• Experience with ABAP / RAP at review levelechnology Stack
• Public Cloud & Product (70%)

TypeScript microservices API-first design
Containers and orchestration (Kubernetes / Kyma) Cloud Foundry
Event-Driven Architecture SAP Event Mesh SAP Business Events
CI/CD Infrastructure as Code observability

• SAP Platform & Extensions (30%)

SAP BTP SAP CAP ( Private Cloud and Public Cloud side-by-side extensions
Clean Core OData APIs ABAP / RAP (at review level)

• Data & AI

HANA Cloud (HDI Vector Engine)
Generative AI / SAP AI Core RAG LLM integration
LangChain / LangGraph agentic orchestration

• Infrastructure & Security

Multi-Tenant Architecture
XSUAA / IAS / IPS identity federation across hybrid landscapes
CI/CD (SAP and non-SAP toolchains)

AI Readiness

We expect our architects to work with AI not just design for it. We assess AI readiness on two levels.

• General AI Working Practice

Habitual critical use of AI assistants in daily engineering and design work
Ability to judge where AI output is trustworthy and where it must be verified
Awareness of data protection IP and confidentiality boundaries when using AI tools
Willingness to share prompts patterns and lessons learned with the wider engineering organisation

• Role-Specific AI Usage

AI-assisted architecture work:optionanalysis trade-off exploration design review support
AI-assisted generation and maintenance of HLD SDD and TDD artefacts
Use of AI coding assistants for prototypes spikes and reference implementations
Designing AI-native product capabilities: RAG over product and SAP data agentic workflowsguardrailsand evaluation
Assessing AI features for cost latency and operational risk before they enter the architecture

You hold the hybrid landscape together. You build the foundation for scalable public cloud products enable AI-nativecapabilitiesand ensure the SAP core and cloud-native product portfolio evolve as one. Your role enables innovation to scale at pace while keeping the platform stable governed and coherent.