Principal AI Engineer

Role SummaryWe 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 DoAI Platform ArchitectureDefine the enterprise AI architecture strategy across the Audit & Assurance portfolio.Establish reference architectures for: Agentic workflowsMulti-agent orchestrationRetrieval-augmented generation (RAG)Knowledge graphsSemantic searchAI-assisted content generationAI-supported analytical workflowsCreate reusable AI platform capabilities consumed across multiple products.Product & Domain ArchitectureArchitect end-to-end solutions across: Audit engagement lifecyclePlanning and risk assessmentEvidence collection and validationCompliance and standards interpretationAnalytics and anomaly detectionQuality review and sign-off workflowsEstablish bounded contexts, domain-driven design principles, API strategies, and event contracts.AI Systems & Agent EngineeringDesign scalable multi-agent systems using: Manager–ExecutorPlanner–ExecutorBlackboardEvent-driven agent collaborationHuman-in-the-loop workflowsDefine memory, context, tool usage, routing, evaluation, and safety frameworks.Technical LeadershipLead architecture reviews and design governance.Produce Architecture Decision Records (ADRs).Coach engineering teams in: AI architectureDistributed systemsPerformance engineeringReliability engineeringArchitecture trade-off analysisAct as the technical authority for AI architecture decisions.Required Qualifications15+ 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: AzureKubernetes/AKSDistributed systemsMicroservicesEvent-driven architecturesLarge-scale platform modernizationStrong hands-on software engineering experience with: C#.NETPythonAPIsDistributed systemsDemonstrated success designing AI-enabled enterprise applications.Preferred QualificationsAI & Agentic SystemsPractical experience with:Multi-agent architecturesLangGraphSemantic KernelMicrosoft Foundry Agent ServiceModel Context Protocol (MCP)Agent orchestration frameworksAI Evaluation & SafetyOffline evaluationsGolden datasetsConfidence scoringHallucination mitigationHuman approval workflowsOur Interview PracticesTo 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 USDThis 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. SummaryLocation: USA - Coppell, TXType: Full time