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
Interview Practices
To maintain a fair and genuine hiring process, candidates are asked to participate in interviews without the assistance of AI tools or external prompts. Candidates are asked to remove virtual backgrounds and include in-person interviews in the hiring process. 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.
Benefits
Wolters Kluwer offers a wide variety of competitive benefits and programs including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.
