Principal AI Solutions Architect

Wolters Kluwer

Houston (TX)

On-site

USD 133,000 - 238,000

Full time

12 days ago

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Benefits offered by this job

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Job summary

Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. You will lead development of agentic AI solutions, collaborate with Cloud Operations, Security, Compliance, and business stakeholders to transform operations.

Responsibilities include translating business processes into AI use cases, designing end-to-end AI systems, and maturing platform governance and patterns.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related technical field.
  • Master’s degree in Computer Science, Engineering, Business Administration, or related field preferred.
  • PhD in Computer Science, Machine Learning, or related discipline a plus.

Responsibilities

  • Translate business processes into AI use cases using agents, orchestrations, skills, and plugins.
  • Lead end-to-end AI solution design integrating process engineering with business logic.
  • Architect agentic systems with intent-driven decisions and controlled execution.
  • Collaborate with stakeholders to define governance, compliance, and risk controls.
  • Mentor the engineering team in AI design patterns and best practices.
  • Shape the AI platform roadmap based on customer needs.

Skills

AI solutions architecture
Agentic systems design
Python programming
Cloud platforms
Governance & compliance
Leadership & mentorship

Education

Bachelor's degree in CS/IS
Master's degree preferred
PhD in CS/ML a plus

Tools

LangChain
LlamaIndex
OpenAI SDK
Anthropic SDK

Job description

Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. You will lead development of agentic AI solutions, collaborate with Cloud Operations, Security, Compliance, and business stakeholders to transform operations.

Responsibilities include translating business processes into AI use cases, designing end-to-end AI systems, and maturing platform governance and patterns.

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