Enterprise AI Architect & Platform Lead

Wolters Kluwer; Coppell (TX); Hybrid; USD 160.000 - 260.000; Vollzeit

Zusammenfassung

Wolters Kluwer in Coppell, TX is seeking a Principal AI Engineer to define and lead the AI architecture across a large-scale Audit & Assurance application portfolio. You will bridge modern software architecture, AI engineering, cloud-native platforms, distributed systems, and governance.

You will design and implement enterprise AI systems, establish reference patterns, shape platform capabilities, and coach teams while remaining hands-on in architecture and coding.

Qualifikationen

• 15+ years in software engineering and architecture.
• 7+ years designing large-scale SaaS and distributed systems.
• Proven experience architecting enterprise AI systems in production.
• Deep expertise in Azure, Kubernetes/AKS, distributed systems, microservices.
• Strong hands-on software engineering with C#, .NET, Python, APIs.

Aufgaben

• Define the enterprise AI architecture strategy across the Audit & Assurance portfolio.
• Establish reference architectures for agentic workflows and RAG.
• Design scalable multi-agent systems and memory/context frameworks.
• Lead architecture reviews and governance; produce ADRs.
• Coach engineering teams in AI architecture, distributed systems, performance, and reliability.

Kenntnisse

Software engineering & architecture

Large-scale SaaS

Enterprise AI systems

Azure

Kubernetes/AKS

Distributed systems

Microservices

C#

.NET

Python

APIs

Platform modernization

Tools

Azure

Kubernetes/AKS

LangGraph

Semantic Kernel

Knowledge graphs

Jobbeschreibung

Wolters Kluwer in Coppell, TX is seeking a Principal AI Engineer to define and lead the AI architecture across a large-scale Audit & Assurance application portfolio. You will bridge modern software architecture, AI engineering, cloud-native platforms, distributed systems, and governance.

You will design and implement enterprise AI systems, establish reference patterns, shape platform capabilities, and coach teams while remaining hands-on in architecture and coding.