# Principal Enterprise Software Engineer at Wolters Kluwer

Wolters Kluwer is hiring a Principal Enterprise Software Engineer. It pays $133k-$238k a year and Level rates it Works on AI ●●●○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/e9e4622b-8ec1-4f34-8e4e-84226fa2d61e?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. USA - Kennesaw, GA.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 75 out of 100)
- Location: USA - Kennesaw, GA
- Salary: $133k-$238k
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/e9e4622b-8ec1-4f34-8e4e-84226fa2d61e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-enterprise-software-engineer-at-wolters-kluwer-5d0a26

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-enterprise-software-engineer-at-wolters-kluwer-5d0a26

## Description

Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer in our Architecture & Engineering Services (AES) Team to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. Working within our Engineering team and collaborating closely with customers, Cloud Operations, Security, Compliance, and business stakeholders, this principal engineer will drive AI-powered transformation initiatives across the enterprise. Our Principal AI Solutions Engineer will lead the development of intelligent, cloud-native, agentic AI solutions that operationalize decision-making and process automation across the organization. The role requires deep expertise in designing AI agents, composing orchestrations, engineering reusable skills, and building extensible plugins that solve complex business problems. Beyond architecting AI systems, this engineer will demonstrate thought leadership in translating business processes into AI-driven workflows and will play a key role in evolving our AI platform roadmap. Key Responsibilities: Translate business processes and operational workflows into AI use cases solved via agents, orchestrations, skills, and plugins on our platform Lead the design and delivery of end-to-end AI solutions that integrate process engineering principles with business logic Architect agentic systems that combine intent-driven decision-making, dynamic authorization, and controlled execution Accelerate AI adoption across the organization by democratizing access to AI capabilities, empowering business units and engineering teams to build, deploy, and operationalize intelligent workflows without deep AI expertise Mentor the engineering team in AI solution design patterns, governance frameworks, and best practices Shape the AI platform roadmap based on customer needs, operational requirements, and emerging patterns Collaborate with stakeholders to define AI governance, compliance, and risk controls for enterprise deployments Build and operationalize reusable, composable skills, orchestrations, and patterns that amplify team velocity and reduce time-to-value for downstream adopters This role demands an engineer who understands both the technical depth of AI systems and the business context they operate within—and who is committed to scaling AI impact across the enterprise. What YOU’ll have Required Qualifications & Mindset Core Motivation & Approach: Driven to transform enterprise operations through AI agents and intelligent automation Passionate about democratizing AI—making advanced capabilities accessible to business units and non-expert engineering teams Motivated by solving complex, real-world process problems with scalable, resilient solutions "Can-do" attitude; comfortable designing and shipping solutions under pressure and ambiguity Technical Foundation: Strong grasp of cloud platforms and hybrid environments; comfortable architecting for Azure, AWS, or GCP Deep understanding of distributed systems, microservices architecture, and cloud-native patterns Proven experience with high-level programming languages (Python preferred; Java/C# acceptable) Strong fundamentals: OS concepts, storage solutions, networking, and infrastructure principles AI/LLM & Agentic Systems: Proven track record building production LLM applications and agentic systems Deep expertise designing and orchestrating AI agents that make decisions, take actions, and execute workflows autonomously Proficiency in Python; strong experience with AI frameworks and SDKs (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, or equivalent) Understanding of intent-driven decision-making, dynamic authorization models, and controlled execution patterns Experience building reusable, composable AI components (skills, orchestrations, plugins) that democratize AI across teams Process Engineering & Business Translation: Ability to translate business processes and operational workflows into AI-solvable use cases Skilled at decomposing complex

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Source: https://jobsbylevel.com/jobs/principal-enterprise-software-engineer-at-wolters-kluwer-5d0a26

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