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.
Compensation:
$107,500.00 - $188,400.00 USD
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information :
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.