Principal AI Engineer

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.