Principal AI Solutions Architect - Enterprise Automation

C T Corporation System (DE)

Kennesaw (GA)

Presencial

USD 180.000 - 260.000

Tempo integral

Há 4 dias
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Resumo da vaga

Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer in our AES Team to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. You will translate business needs into AI-driven workflows, design agents and orchestrations, and partner with customers, security, and operations to scale impact across the enterprise.

This role requires deep expertise in AI, cloud-native patterns, and governance, with a track record of production LLM applications

Qualificações

  • Experience building production LLM applications.
  • Ability to translate business processes into AI-driven workflows.
  • Experience designing and governing AI deployments with risk controls.
  • Strong cloud platform experience (Azure/AWS/GCP).

Responsabilidades

  • Translate business processes into AI use cases solved via agents, orchestrations, skills, and plugins.
  • Lead design and delivery of end-to-end AI solutions integrating process engineering with business logic.
  • Architect agentic systems with intent-driven decision-making and controlled execution.
  • Accelerate AI adoption by democratizing capabilities across teams.
  • Mentor engineering teams in AI solution design patterns and governance.
  • Shape the AI platform roadmap based on customer needs and emerging patterns.
  • Collaborate on AI governance, compliance, and risk controls for deployments.

Conhecimentos

AI solution design
Cloud platforms
Python
Agentic systems
LLM frameworks
Orchestrations

Ferramentas

LangChain
LlamaIndex
OpenAI SDK
Anthropic SDK
Plugins

Descrição da vaga

Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer in our AES Team to architect, build, and deploy enterprise-scale AI solutions on our next-generation AI platform. You will translate business needs into AI-driven workflows, design agents and orchestrations, and partner with customers, security, and operations to scale impact across the enterprise.

This role requires deep expertise in AI, cloud-native patterns, and governance, with a track record of production LLM applications

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