Senior Enterprise AI Data Architect

T. Rowe Price

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MD
Salary
$121,000–$206,000 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $164k
$107k most similar roles pay here $253k

This role pays less than 69% of similar roles. Most pay $158,325–$239,150 — the shaded band above. At the midpoint, this role pays about $164k versus about $199k for comparable roles.

Based on 239 similar postings.

Employer

About T. Rowe Price

T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services

T. Rowe Price currently has 26 open roles on FindRole.

Listed pay typically runs $121,500–$207,500 across 26 roles with salary data.

Most-posted roles

View all roles at T. Rowe Price

At a glance

TL;DR · Senior Enterprise AI Data Architect

As a Sr. Enterprise AI Data Architect within the Enterprise Data Architecture and Data Platform team, you will lead the design, governance, and evolution of enterprise data and AI architecture capabilities. You will be responsible for defining reference architectures, building prototypes to validate decisions, and establishing reusable patterns for agentic and model-driven workflows. Your daily work involves managing end-to-end patterns including ingestion, transformation, semantic modeling, and production deployment. The role requires expertise in modern cloud data platforms, specifically AWS and Snowflake, with a focus on Amazon Bedrock Agent Core and Snowflake Cortex. You will utilize Python, APIs, CI/CD, and infrastructure as code to solve complex problems regarding data readiness and AI integration. This role addresses the technical challenge of creating scalable, secure, and governed solutions for enterprise-wide data and AI outcomes.

What you'll do

  • Lead the design, governance, and implementation of enterprise data and AI solutions from concept through production.
  • Define end-to-end architecture patterns for data ingestion, transformation, semantic modeling, and model orchestration.
  • Build prototypes and proof-of-concepts to validate architectural decisions and evaluate emerging technologies.
  • Establish reusable design patterns for agentic and model-driven workflows using cloud-native platforms.
  • Design the integration of AI capabilities with enterprise applications, APIs, and data platforms like Snowflake.
  • Define standards for metadata, lineage, governance, and lifecycle management across all data solutions.
  • Evaluate technical trade-offs between tools and models to recommend solutions aligned with business needs.
  • Drive the adoption of enterprise architecture standards and best practices across all data and AI initiatives.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
  • 8+ years of experience in data, platform, or solution architecture.
  • Experience designing and delivering enterprise-scale cloud data and AI solutions.
  • Hands-on experience with generative AI, machine learning, or advanced analytics including at least one end-to-end production use case.
  • Strong experience with AWS and Snowflake, specifically regarding governed data access and AI integration.
  • Proficiency in Python or another modern programming language.
  • Experience with APIs, orchestration patterns, CI/CD, infrastructure as code, and operational best practices.
  • Strong communication and stakeholder management skills to influence decisions across technical and business teams.

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