Amazon
Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS
$183K–$272K
Jersey City, NJ +6 · Principal · Full-time · Posted Jun 29, 2026
- Location
- Jersey City, NJ
Austin, TX
Arlington, VA
New York, NY
Atlanta, GA
Chicago, IL
Dallas, TX - Experience
- 8+ years in enterprise technology architecture delivery, including at least 5 years influencing technical teams and defining and governing architecture on complex transformation programs.
- Education
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
About the job
Leads technical architecture and AI-native delivery for large-scale healthcare and life sciences transformation programs, advising executives and aligning customer, AWS, and partner teams.
What you'll do
- Own end-to-end architecture, technical standards, and governance across concurrent transformation workstreams.
- Advise senior customer executives on technology choices and resolve architecture conflicts across teams.
- Drive agentic AI and AI-DLC adoption to improve delivery productivity and time-to-value.
What they ask for
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
- Experience advising senior leadership on technical and architectural trade-offs, best practices, and risk mitigation.
- Experience working with fast-moving, high-performance teams and developing solutions for unique business environments.
- Depth in AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through enterprise-wide transformation leadership.
Nice to have
- AWS Professional-level certifications.
- Healthcare and life sciences experience, including regulated AI solutions and/or agentic AI, AI-native delivery, or large-scale data platforms.
Pay
182,800.00 - 247,300.00 USD annually (base salary); 201,000.00 - 272,000.00 USD annually (base salary)
Tools
AWS, Amazon Bedrock, AgentCore, OMOP, CDISC, FHIR, HL7 FHIR R4, RAG
AI focus
Leads AI/ML and agentic AI architecture, responsible AI practices, multi-agent orchestration, and AI-native delivery transformation using AI-DLC.
Model-written summary · the original posting is authoritative