Principal Delivery Architect — AI/ML & Data for HCLS

Amazon

Chicago (IL)

Hybrid

USD 183,000 - 247,000

Full time

14 days+
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Job summary

Amazon Web Services (AWS) ProServe seeks a Principal Delivery Consultant to lead large-scale Healthcare and Life Sciences transformation programs. You will own the technical vision across AI/ML, data platform modernization, and enterprise architecture, guiding senior executives and coaching partner teams.

You will spend ~50% on-site with customer, AWS, and partners in the U.S., shaping architecture and governance for multi-party delivery environments.

Qualifications

  • Bachelor's degree in Computer Science, Math, or related field.
  • 8+ years in enterprise technology architecture delivery with 5+ years guiding architecture decisions.
  • Depth in AI/ML, enterprise architecture modernization, or data architecture and engineering with leadership in large transformations.

Responsibilities

  • Define and own end-to-end technical architecture for large-scale HCLS transformation programs.
  • Advise executives on technology choices and influence decisions across teams without direct authority.
  • Drive cross-team alignment and governance, coaching engineers across partner orgs.
  • Grow expertise in AI/ML, data engineering, and industry depth for HCLS.
  • Lead AI-native delivery through AI-DLC methodologies and multi-agent systems at scale.

Skills

AI/ML
Enterprise architecture modernization
Data architecture & engineering

Education

Bachelor's degree in Computer Science, Math, or related field
AWS Professional level certification

Tools

Amazon Bedrock
AgentCore

Job description

Amazon Web Services (AWS) ProServe seeks a Principal Delivery Consultant to lead large-scale Healthcare and Life Sciences transformation programs. You will own the technical vision across AI/ML, data platform modernization, and enterprise architecture, guiding senior executives and coaching partner teams.

You will spend ~50% on-site with customer, AWS, and partners in the U.S., shaping architecture and governance for multi-party delivery environments.

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