Sr. Enterprise AI Data Architect

T. Rowe Price
Baltimore
Workplace: HybridFull timeUSD 121,000 - 258,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Stakeholder management","Influencing decisions","Technical consensus"]

Lead the design, governance, and evolution of enterprise data and AI architecture capabilities. Define end-to-end reference architectures across ingestion, transformation, semantic modeling, retrieval, and model orchestration, then guide implementation patterns from concept to production. Build prototypes and proof-of-concepts to validate new approaches, establish reusable agentic and analytical workflow frameworks, and partner with engineering teams to ensure scalable, secure, governed solutions on AWS and Snowflake.

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FursaFursa
T. Rowe Price
T. Rowe Price
2 months ago

Sr. Enterprise AI Data Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 days agoStatus: Live

Job Summary

Lead the design, governance, and evolution of enterprise data and AI architecture capabilities. Define end-to-end reference architectures across ingestion, transformation, semantic modeling, retrieval, and model orchestration, then guide implementation patterns from concept to production. Build prototypes and proof-of-concepts to validate new approaches, establish reusable agentic and analytical workflow frameworks, and partner with engineering teams to ensure scalable, secure, governed solutions on AWS and Snowflake.
Location: Baltimore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the architecture, design, and selective hands-on implementation of enterprise data and AI solutions from concept through production.
  • •Define end-to-end architecture patterns across ingestion, transformation, semantic modeling, retrieval, model orchestration, inference, integration, and deployment.
  • •Build prototypes and proof-of-concepts to validate architecture decisions and accelerate adoption of new data and AI capabilities.
  • •Establish reusable design patterns for agentic, analytical, and model-driven workflows using cloud-native enterprise data platforms.
  • •Design and guide integration of AI capabilities with enterprise applications and data platforms such as Snowflake, partnering with engineering teams to ensure scalable, secure implementation.

Pay and Benefits

Salary: USD 121,000 - 258,000 annually
Perks:Annual BonusRetirementHybrid WorkHealth InsurancePaid Leave

Key Requirements

  • •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, delivering enterprise-scale cloud data and AI solutions.
  • •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 architecture patterns for governed data access and AI integration (Amazon Bedrock Agent Core and Snowflake Cortex preferred).
  • •Strong technical skills in Python (or another modern language) plus experience with APIs, orchestration patterns, CI/CD, infrastructure as code, and operational best practices.
Education:Bachelor's
Skills:CommunicationStakeholder managementInfluencing decisionsTechnical consensus
Certifications:AWS certified AI practitionerSnowPro Core Certification
Tech Stack:AWSSnowflakeAmazon Bedrock Agent CoreSnowflake CortexPythonAPIsCI/CDInfrastructure as CodeData ingestionData transformationSemantic modelingModel orchestrationMetadataLineageGovernanceObservability

Company Brief

T. Rowe Price
Global investment management firm offering mutual funds, retirement services, and advisory solutions for individual and institutional investors. Manages assets across equities, fixed income, multi-asset, and alternative strategies.
Industry: Asset Management
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Baltimore, United States
Founded: 1937
WebsiteLinkedIn