Senior AI/ML & Data Architecture Lead — HCLS Transformation

Amazon

Dallas (TX)

Hybrid

USD 183,000 - 247,000

Full time

14 days+

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Job summary

Amazon Web Services (AWS) Professional Services seeks a Principal Delivery Consultant to lead large-scale Healthcare and Life Sciences transformations, defining the technical vision across AI/ML, data platform modernization, and enterprise architecture.

This senior contributor role blends deep technical depth with executive advisory, guiding VP+-level stakeholders and cross-team delivery while promoting responsible AI and scalable multi-agent patterns.

Qualifications

Bachelor's degree in Computer Science, Math, or a related field.
8+ years of experience in enterprise technology architecture delivery, with at least 5 years influencing technical teams defining and governing technical architecture on complex transformation programs
Depth in one or more technical areas: AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through leadership of enterprise-wide transformation programs at leading global enterprises

Responsibilities

Enterprise Architecture Ownership & Technical Standards: Define and own end-to-end architecture for large-scale HCLS transformation programs and establish reference architectures and standards across multiple builders.
Executive Technical Advisory & Decision Shaping: Counsel executives on major technology choices (TCO, time-to-value, build vs. buy) and influence decisions across customer and partner teams.
Cross-Team Alignment & Architectural Governance: Drive alignment across teams, resolve conflicts, and coach engineers across partner organizations while championing responsible AI practices.
AI/ML, Data & Knowledge Architecture: Grow expertise across AI/ML, enterprise architecture, and data engineering with HCLS industry depth and translate innovations into customer context.
AI-Native Delivery Transformation: Redesign delivery models for accelerated scale and embed AI-native workflows into program execution to boost productivity.