AI-Ready Data Platform Architect

Amazon; Austin (TX); Hybrid; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant focused on data to help customers become AI-ready. You will design and implement modern data platforms, data pipelines, and knowledge graph architectures that power AI agents and model training.

The role requires hands-on work in customer environments, including data governance, HIPAA/GDPR considerations, and deep collaboration with partner teams. This is a high-impact, on-site role with ~50% travel to client sites in the U.S.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments.
• Build data products serving downstream applications from AI/ML model training to agentic AI systems.
• Operate autonomously within fast-moving delivery engagements with evolving requirements.
• Navigate data access, security, and privacy requirements including HIPAA and GDPR.
• Architect contextual knowledge layers with ontologies and knowledge graphs for AI agents in regulated environments.
• Collaborate across teams to secure data access and resolve data quality challenges.
• Deliver iteratively when requirements are ambiguous and translate business needs into scalable data solutions.
• Apply AI-DLC methodologies to redesign data workflows for AI-native scale.

Skills

Cloud architecture

AWS services

Distributed environments

Education

Advanced technology degree

AWS Professional certification

Tools

EC2

S3

RDS

Route53

ELB

Lambda

Job description

Amazon Web Services (AWS) ProServe is seeking a Delivery Consultant focused on data to help customers become AI-ready. You will design and implement modern data platforms, data pipelines, and knowledge graph architectures that power AI agents and model training.

The role requires hands-on work in customer environments, including data governance, HIPAA/GDPR considerations, and deep collaboration with partner teams. This is a high-impact, on-site role with ~50% travel to client sites in the U.S.