Tech Lead, Shared AI Services (m/f/d)

Nemetschek Group; München; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

A leading digital transformation company in Munich is seeking a Tech Lead for Shared AI Services. The role involves building and leading an engineering team to deliver high-performance AI solutions. Responsibilities include ensuring scalability and reliability, establishing engineering best practices, and managing cross-brand services. The ideal candidate has over 8 years of experience in platform engineering, strong leadership skills, and fluency in English, with German being a plus.

Qualifikationen

• 8+ years engineering experience with 3+ years leading platform/shared services.
• Proven delivery of AI/ML platforms in production.
• Fluent English; German is a plus.

Aufgaben

• Build and lead a high-performing engineering team.
• Own technical architecture and platform governance.
• Establish engineering best practices for AI services.
• Define and track platform KPIs.

Kenntnisse

Leadership and coaching

Systems architecture and governance

Product-minded delivery

Observability with SLOs/SLIs

Stakeholder communication

Ausbildung

Bachelor’s or Master’s in Computer Science/Software Engineering

Cloud architect or MLOps certification

Tools

Kubernetes

Service mesh

AI platform components

Jobbeschreibung

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The Nemetschek Group is a pioneer for the digital transformation in the AEC/O industry and focuses on the use of open standards (OPEN BIM). As one of the world's leading groups in this industry, the Nemetschek Group increases the quality in the construction process with its intelligent software solutions and improves the digital workflow of all those involved in the process. As a result, buildings can be planned, built, and operated more efficiently, sustainably and with less impact on resources.

Responsibilities:

• Build, lead, and develop a high‑performing engineering team delivering full‑stack shared AI services (e.g., AI Assistant backend), including hiring, mentoring, and performance management.
• Own the end‑to‑end, full stack technical architecture and platform governance for shared components across brands, ensuring scalability, reliability, and interoperability.
• Partner with product and engineering leaders to help prioritize cross‑brand AI use cases, maintain a shared backlog, and align delivery timelines and dependencies.
• Deliver platform capabilities such as agent runtime and store, fine‑tuning and evaluation pipelines, SDKs/APIs, and semantic translation adapters for cross‑brand workflows.
• Establish and enforce engineering best practices for AI services, including code quality, documentation, automated testing, observability, CI/CD, versioning, and release management.
• Ensure security, privacy, and compliance across services, including model transparency and monitoring, data protection, and incident response processes.
• Define and track platform KPIs (availability, latency, cost, quality metrics), implement performance and quality evaluation, and ensure continuous platform upkeep.
• Operate a cross‑brand contribution model: review, generalize, and merge brand contributions into the common core through rigorous technical reviews and quality gates.
• Align technical decisions with business outcomes; communicate impact, capacity needs, and investment trade‑offs; support budgeting and resource allocation for shared services.

Qualifications:

• Educational Background: Bachelor’s or Master’s in Computer Science/Software Engineering or related; equivalent practical experience in large‑scale platform engineering; relevant certifications (cloud architect, security, MLOps) are a plus.
• Professional Knowledge and Experiences: 8+ years engineering with 3+ years leading platform/shared services; proven delivery of AI/ML platforms in production; cloud/Kubernetes/service mesh/observability; AI platform components (orchestration, vector stores, RAG, fine‑tuning, eval harnesses); strong architecture across backend/data/APIs; security/privacy/incident response; SLO‑driven operations/on‑call/postmortems; cross‑brand platform and contribution model management.
• Other Skills and Competencies: Leadership and coaching; systems architecture and governance; product‑minded delivery; SRE, observability with SLOs/SLIs, and cost/performance stewardship; security/privacy and model governance; stakeholder communication and clear documentation; cross‑brand collaboration; languages: fluent English, German is a plus.

Seniority level

• Mid‑Senior level

Employment type

• Full-time

Job function

• Product Management
• Software Development

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