Our client is building a next‑generation AI and data platform and needs an AI & Data Architect who can cut through complexity and design clear, scalable, cloud‑native architectures.
This is a high‑impact role where AI, data engineering, and cloud infrastructure all need to move in sync. You’ll lead the target architecture, steer technical decisions, and work closely with engineering and product teams to deliver a modern, enterprise‑grade platform
Candidates must speak German and English to be considered for this position
Key Responsibilities
Design end‑to‑end
AI and data architectures
across ingestion, transformation, storage, governance, and consumption
Define
target‑state architectures , integration patterns, and reference models for AI/ML and data platforms
Architect and implement
landing zones
(Azure, AWS, GCP) including security, networking, and governance
Modernise legacy systems and shape
cloud/data migration strategies
Design and integrate
ML pipelines, MLOps frameworks , and scalable AI platform components
Define integration patterns across
APIs, events, streaming, and microservices
Lead workshops, validate decisions, and guide engineering teams
Produce
HLDs, LLDs, diagrams, standards, and technical specifications
Ensure architectural consistency across delivery workstreams
Required Experience
Several years in
AI, Data, Cloud, Enterprise, or Solution Architecture
Deep expertise in
Azure, AWS, or GCP
and secure, scalable cloud foundations
Proven experience designing
modern data platforms
and
AI/ML architectures
Strong grounding in
integration patterns , distributed systems, and cloud‑native design
Experience modernising legacy estates and defining
technology roadmaps
Solid DevOps, CI/CD, and automation knowledge
Ability to lead engineering teams across complex, multi‑layered environments
#J-18808-Ljbffr
This is a high‑impact role where AI, data engineering, and cloud infrastructure all need to move in sync. You’ll lead the target architecture, steer technical decisions, and work closely with engineering and product teams to deliver a modern, enterprise‑grade platform
Candidates must speak German and English to be considered for this position
Key Responsibilities
Design end‑to‑end
AI and data architectures
across ingestion, transformation, storage, governance, and consumption
Define
target‑state architectures , integration patterns, and reference models for AI/ML and data platforms
Architect and implement
landing zones
(Azure, AWS, GCP) including security, networking, and governance
Modernise legacy systems and shape
cloud/data migration strategies
Design and integrate
ML pipelines, MLOps frameworks , and scalable AI platform components
Define integration patterns across
APIs, events, streaming, and microservices
Lead workshops, validate decisions, and guide engineering teams
Produce
HLDs, LLDs, diagrams, standards, and technical specifications
Ensure architectural consistency across delivery workstreams
Required Experience
Several years in
AI, Data, Cloud, Enterprise, or Solution Architecture
Deep expertise in
Azure, AWS, or GCP
and secure, scalable cloud foundations
Proven experience designing
modern data platforms
and
AI/ML architectures
Strong grounding in
integration patterns , distributed systems, and cloud‑native design
Experience modernising legacy estates and defining
technology roadmaps
Solid DevOps, CI/CD, and automation knowledge
Ability to lead engineering teams across complex, multi‑layered environments
#J-18808-Ljbffr
