Enterprise AI Architect

T. Rowe Price

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDNew York, NY
Salary
$174,000–$297,000 / yr
Posted
168 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $236k
$131k most similar roles pay here $315k

This role pays more than 73% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k 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 · Enterprise AI Architect

As an Enterprise AI Architect within the Enterprise Architecture team, you will lead the firm-wide activation of artificial intelligence across a complex global institution. You will work directly with the Chief Architect to define, govern, and accelerate AI adoption by translating enterprise strategy into technical blueprints for model infrastructure, data pipelines, and orchestration layers. Your daily work involves developing reference architectures for agentic AI systems, integrating capabilities with core data platforms using RAG and Model Context Protocol, and establishing governance frameworks for risk management and compliance. You will utilize a modern stack including LLM APIs, vector databases, LangChain, AutoGen, Snowflake, Databricks, and AWS Bedrock. This role solves the challenge of integrating frontier AI technologies into investment research, portfolio management, and operational workflows while ensuring security and scalability within a highly regulated asset management environment.

What you'll do

  • Define and maintain the firm's Enterprise AI Architecture including model infrastructure, data pipelines, and orchestration layers.
  • Develop reference architectures for agentic AI systems and multi-agent workflows using frameworks like LangChain or AutoGen.
  • Integrate AI capabilities with core data platforms using retrieval-augmented generation (RAG) and Model Context Protocol (MCP).
  • Design and operationalize an AI governance framework covering risk management, explainability, and regulatory compliance.
  • Translate business strategies from investment and operations into technical requirements and architectural roadmaps.
  • Lead the Architecture Review Board to evaluate AI proposals against enterprise standards and safety protocols.
  • Conduct continuous technology scanning to identify and pilot emerging AI capabilities like multimodal reasoning and quantum-AI convergence.
  • Produce executive-level artifacts including technology radars, strategic assessments, and architectural decision records (ADRs).

What we're looking for

  • Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field.
  • Master's or PhD in Computer Science, AI, Machine Learning, or Data Science is preferred.
  • 10+ years of experience in technology architecture roles.
  • 3–5 years of experience focused on AI/ML architecture in large, complex enterprise environments.
  • Hands-on expertise with the modern AI stack, including LLM APIs, vector databases, RAG architectures, and agent orchestration frameworks.
  • Experience with enterprise data platforms like Snowflake or Databricks and cloud-native architecture on AWS.
  • Ability to produce high-quality architecture artifacts such as reference architectures, technology radars, and ADRs.
  • Experience in financial services with an understanding of investment workflows and regulatory obligations is preferred.

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