Principal AI Engineer

Wolters Kluwer; Coppell (TX); Hybrid; USD 160,000 - 260,000; Full time

Job summary

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.

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.
• Strong hands-on software engineering with C#, .NET, Python, APIs.

Responsibilities

• 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.

Skills

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

Job description

Principal AI EngineerWelcome to our Wolters Kluwer website. We use Cookies to optimize the use of our website. You can find more information about the used cookies and technologies on our Careers Privacy & Cookies Notice page.# Wolters Kluwer## Principal AI EngineerApply: Hybrid (8 days/month): USA - Coppell, TX: Full time: Posted Today: R0059920**Role Summary**We are seeking a **Principal AI Engineer** to define and lead the AI architecture for a large-scale Audit & Assurance application portfolio spanning engagement workflows, evidence management, analytics, content intelligence, risk assessment, compliance, and review automation.This is a highly hands-on technical leadership role for an individual who can bridge modern software architecture, AI engineering, cloud-native platforms, distributed systems, and enterprise governance. You will architect AI-enabled systems that operate at enterprise scale across multiple products, regions, and regulatory environments.You will be responsible for establishing the target-state AI architecture, reference patterns, engineering standards, platform capabilities, and implementation guardrails for AI-assisted audit workflows. The role requires deep expertise in agentic AI systems, retrieval architectures, knowledge graphs, platform modernization, security-by-design, and large-scale SaaS architecture.You are expected to design, build, prototype, review code, establish architectural direction, and coach engineering teams while remaining actively engaged in implementation and technical decision-making. The scope spans all Audit & Assurance products across North America and Europe.**What You'll Do****AI Platform Architecture*** Define the enterprise AI architecture strategy across the Audit & Assurance portfolio.* Establish reference architectures for:* Agentic workflows* Multi-agent orchestration* Retrieval-augmented generation (RAG)* Knowledge graphs* Semantic search* AI-assisted content generation* AI-supported analytical workflows* Create reusable AI platform capabilities consumed across multiple products.**Product & Domain Architecture*** Architect end-to-end solutions across:* Audit engagement lifecycle* Planning and risk assessment* Evidence collection and validation* Compliance and standards interpretation* Analytics and anomaly detection* Quality review and sign-off workflows* Establish bounded contexts, domain-driven design principles, API strategies, and event contracts.**AI Systems & Agent Engineering*** Design scalable multi-agent systems using:* Manager–Executor* Planner–Executor* Blackboard* Event-driven agent collaboration* Human-in-the-loop workflows* Define memory, context, tool usage, routing, evaluation, and safety frameworks.**Technical Leadership*** Lead architecture reviews and design governance.* Produce Architecture Decision Records (ADRs).* Coach engineering teams in:* AI architecture* Distributed systems* Performance engineering* Reliability engineering* Architecture trade-off analysis* Act as the technical authority for AI architecture decisions.**Required 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* Event-driven architectures* Large-scale platform modernization* Strong hands-on software engineering experience with:* C#* .NET* Python* APIs* Distributed systems* Demonstrated success designing AI-enabled enterprise applications.**Preferred Qualifications****AI & Agentic Systems**Practical experience with:* Multi-agent architectures* LangGraph* Semantic Kernel* Microsoft Foundry Agent Service* Model Context Protocol (MCP)* Agent orchestration frameworks**AI Evaluation & Safety*** Offline evaluations* Golden datasets* Confidence scoring* Hallucination mitigation* Human approval workflows## Our Interview Practices*To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.**Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.*