Remote AI Solutions Architect - Healthcare Payers

NTT DATA, Inc.

Plano (TX)

On-site

USD 119,578 - 221,625

Full time

14 days+
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Job summary

NTT DATA Services in Plano, Texas is seeking an AI Solutions Architect for Healthcare Payer and Life Science to design and deliver AI, ML, and generative AI solutions for health plan clients. You will partner with payer executives, data leaders, and engineering teams to translate business challenges into scalable AI solutions.

The ideal candidate has deep healthcare payer knowledge, cloud experience, and a track record of leading solution design across member engagement, care management, and

Qualifications

  • 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, or enterprise solution delivery.
  • 4+ years of experience supporting health plans, payers, managed care organizations, or healthcare administrative platforms.
  • Hands-on experience designing AI, ML, generative AI, analytics, or automation solutions in production.

Responsibilities

  • Design end-to-end AI and generative AI solutions for health plan use cases, including architecture and deployment.
  • Lead solutioning for payer domains such as claims, enrollment, benefits, and provider data.
  • Develop reference architectures using cloud platforms, data lakes, and MLOps pipelines.
  • Define responsible AI controls, monitoring, explainability, and regulatory compliance.
  • Support pre-sales activities, including solution pitches, demos, and workshops.

Skills

AI/ML architecture
Healthcare payer domain
Cloud platforms (AWS/Azure/GC)
Gen AI / LLMOps
Stakeholder communication
Pre-sales support

Education

Bachelor's degree in CS/IS/Engineering/Data Science/Healthcare Informatics

Tools

AWS
Azure
Google Cloud

Job description

NTT DATA Services in Plano, Texas is seeking an AI Solutions Architect for Healthcare Payer and Life Science to design and deliver AI, ML, and generative AI solutions for health plan clients. You will partner with payer executives, data leaders, and engineering teams to translate business challenges into scalable AI solutions.

The ideal candidate has deep healthcare payer knowledge, cloud experience, and a track record of leading solution design across member engagement, care management, and

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