Senior Enterprise AI Data Architect

T Rowe Price; Baltimore (MD); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Hybrid work schedule

Annual bonus eligibility

Competitive compensation

Health and wellness benefits

Retirement plan

Job summary

T. Rowe Price is seeking a Senior Enterprise AI Data Architect to lead the design, governance, and evolution of enterprise data and AI architecture across the firm.

The role combines strategic leadership with hands-on delivery, spanning data ingestion, transformation, semantic modeling, model orchestration, and production deployment. The ideal candidate will bring deep cloud data platform expertise, AI/ML architecture, and strong communication to influence cross-functional teams.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
• 8+ years of experience in data, platform, or solution architecture for enterprise-scale cloud data and AI.
• Hands-on experience with generative AI, machine learning, or advanced analytics, with at least one end-to-end production use case.
• Strong experience with AWS and Snowflake, including governance for data access, analytics, and AI integration; Bedrock/Cortex preferred.
• Deep understanding of modern data architecture: ingestion, transformation, semantic modeling, metadata, lineage, governance, and deployment.
• Proficiency in Python or another modern language, with APIs, orchestration, CI/CD, and IaC experience.
• Excellent communication and stakeholder management to influence architecture decisions.

Responsibilities

• Lead architecture, design, and hands-on implementation of enterprise data and AI solutions from concept to production.
• Define end-to-end architecture patterns for ingestion, transformation, semantic modeling, retrieval, orchestration, inference, integration, and deployment.
• Build prototypes and POCs to validate decisions and accelerate adoption of new data and AI capabilities.
• Establish reusable design patterns for workflows using cloud-native and enterprise data platforms.
• Design and guide AI integration with enterprise applications, APIs, and data platforms such as Snowflake.
• Partner with engineering teams to ensure scalable, secure, and supportable implementations.
• Define standards for metadata, lineage, governance, observability, and lifecycle management across data/AI.
• Evaluate tools, models, platforms, and integration approaches aligned to strategy and business needs.
• Collaborate with cross-functional teams to align architecture, platform capabilities, and roadmaps.
• Drive adoption of enterprise architecture standards and reusable frameworks.

Skills

Cloud data platforms

AI architecture

Data governance

Python

APIs

CI/CD

Infrastructure as code

Stakeholder management

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Master's degree (preferred)

Tools

Snowflake

AWS

Amazon Bedrock Agent Core

Snowflake Cortex

Job description

T. Rowe Price is seeking a Senior Enterprise AI Data Architect to lead the design, governance, and evolution of enterprise data and AI architecture across the firm.

The role combines strategic leadership with hands-on delivery, spanning data ingestion, transformation, semantic modeling, model orchestration, and production deployment. The ideal candidate will bring deep cloud data platform expertise, AI/ML architecture, and strong communication to influence cross-functional teams.