Lead AI/ML & Data Architecture Consultant

Amazon Web Services (AWS); Austin (TX); On-site; USD 183,000 - 247,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Principal Delivery Consultant to lead large-scale Global Financial Services transformations. This individual contributor role defines the technical vision across AI/ML, data platform modernization, and enterprise architecture, with 50% on-site collaboration in the U.S.

You will counsel senior executives, drive architectural governance, and elevate delivery standards across AWS, partners, and customers to maximize business value from cloud and AI.

Qualifications

• Bachelor's degree in Computer Science, Math, or a related field.
• 8+ years of experience delivering enterprise technology architecture for complex transformations.
• Depth in AI/ML, enterprise architecture modernization, or data architecture and engineering, evidenced by leadership of large-scale programs.

Responsibilities

• Define and own end-to-end technical architecture for large-scale GFS transformations across multiple streams.
• Counsel senior executives on major technology choices and influence decisions without direct authority.
• Drive cross-team alignment and governance, coaching engineers across partner organizations.
• Grow expertise across AI/ML, data engineering, and knowledge architecture within GFS contexts.
• Lead AI-native and agentic AI delivery patterns to accelerate scale and value.

Skills

AI/ML

Enterprise architecture

Data architecture

Education

Bachelor's degree in Computer Science or related

Tools

AWS services

Job description

Amazon Web Services, Inc. seeks a Principal Delivery Consultant to lead large-scale Global Financial Services transformations. This individual contributor role defines the technical vision across AI/ML, data platform modernization, and enterprise architecture, with 50% on-site collaboration in the U.S.

You will counsel senior executives, drive architectural governance, and elevate delivery standards across AWS, partners, and customers to maximize business value from cloud and AI.