
Principal Enterprise Software Engineer
Wolters Kluwer2 days ago
Base Salary
$133k - $238k/yr
Responsibilities
- Translate business processes and operational workflows into AI use cases implemented through agents, orchestrations, skills, and plugins.
- Architect and deliver end-to-end cloud-native agentic AI solutions, including multi-agent systems, tool use, long-running workflows, and intent-driven decision-making.
- Build reusable, composable AI components and reference implementations that help business units and engineering teams adopt AI without deep specialist expertise.
- Design and implement AI safety, governance, authorization, auditability, compliance, and controlled-execution patterns for enterprise deployments.
- Integrate AI solutions with enterprise systems through APIs, asynchronous patterns, event-driven architectures, and hybrid or multi-cloud architectures.
- Optimize production LLM applications for cost and performance using techniques such as prompt caching, model quantization, and intelligent batching.
- Shape the AI platform roadmap by researching emerging technologies, conducting proofs of concept, and evaluating models, frameworks, and cloud services.
- Mentor and upskill engineering teams through workshops, labs, playbooks, templates, documentation, and solution-design guidance.
- Collaborate with customers, business stakeholders, Cloud Operations, Security, Compliance, and engineering teams.
- Contribute to AI governance and compliance for regulated industries, including healthcare, financial services, and legal technology.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related technical field is required.
- Master's degree in Computer Science, Engineering, Business Administration, or a related field is strongly preferred; a PhD in Computer Science, Machine Learning, or a related discipline is a plus.
- Proven experience building production LLM applications and agentic systems, including AI agents, orchestrations, reusable skills, and plugins.
- Proficiency in Python, with Java or C# accepted as alternative programming experience.
- Strong experience with cloud platforms and hybrid environments, including Azure, AWS, or GCP.
- Deep understanding of distributed systems, microservices architecture, cloud-native patterns, operating systems, storage, networking, and infrastructure.
- Experience with AI frameworks and SDKs such as LangChain, LlamaIndex, OpenAI SDK, or Anthropic SDK.
- Expertise designing and consuming APIs, asynchronous patterns, event-driven architectures, and scalable enterprise integration patterns.
- Experience testing AI and machine learning systems, including unit testing, integration testing, evaluation, benchmarking, and validation.
- Experience designing AI governance frameworks, policy enforcement layers, risk classification models, audit trails, compliance controls, and observability.
- Experience with Azure services such as Azure OpenAI, Azure AI Services, Cosmos DB, Functions, and Azure Cognitive Search, or equivalent AWS/GCP services.
- Understanding of data pipelines, vector databases, knowledge graphs, data governance, and knowledge management for AI systems.
- Ability to translate business problems and workflows into intelligent, scalable, and resilient technical solutions.
- Demonstrated mentoring, thought leadership, research, prototyping, and communication skills in AI solution architecture and governance.
Benefits
- Medical, dental, and vision plans are offered.
- 401(k), FSA/HSA, commuter benefits, and a tuition assistance plan are offered.
- Vacation, sick time, and paid parental leave are offered.
- Applicants may be required to appear onsite at a Wolters Kluwer office for part of the interview process.
Tech Stack
Categories
About Wolters Kluwer
Wolters Kluwer builds subscription software, data, and workflow solutions for professionals in healthcare, tax and accounting, legal and regulatory, finance and compliance, and ESG. Its portfolio spans SaaS applications and expert content that support compliance, decision-making, and operational processes. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, it is publicly traded on Euronext Amsterdam (WKL) and reported 2025 annual revenue of €6.1 billion.