Enterprise AI Architect & Principal Platform Engineer

C T Corporation System (DE)

Coppell (TX)

On-site

USD 108,000 - 188,000

Full time

4 days ago
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Job summary

Wolters Kluwer is seeking a Principal AI Engineer to define and lead the AI architecture for a broad Audit & Assurance portfolio. This hands-on leadership role bridges modern software architecture, AI engineering, and cloud-native platforms across North America and Europe.

You will establish target-state AI architecture, reference patterns, and guardrails while coaching teams. Expect deep work on multi-agent systems, retrieval architectures, knowledge graphs, and enterprise-grade

Qualifications

  • 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, and event-driven architectures.
  • Strong hands-on software engineering experience with C#, .NET, Python, APIs, distributed systems.

Responsibilities

  • Define the enterprise AI architecture strategy across the Audit & Assurance portfolio.
  • Establish reference architectures for agentic workflows, multi-agent orchestration, retrieval-augmented generation, knowledge graphs, semantic search, and AI-generated content.
  • Architect end-to-end solutions across audit engagement lifecycle, planning, evidence, compliance, analytics, and review workflows.
  • Lead architecture reviews, ADRs, and governance; coach teams in AI architecture and distributed systems.

Skills

Azure
Kubernetes/AKS
Distributed systems
Microservices
Event-driven architectures
Large-scale platform modernization
C#
.NET
Python
APIs

Job description

Wolters Kluwer is seeking a Principal AI Engineer to define and lead the AI architecture for a broad Audit & Assurance portfolio. This hands-on leadership role bridges modern software architecture, AI engineering, and cloud-native platforms across North America and Europe.

You will establish target-state AI architecture, reference patterns, and guardrails while coaching teams. Expect deep work on multi-agent systems, retrieval architectures, knowledge graphs, and enterprise-grade

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