Lead AI Software Engineer

T. Rowe Price

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDNew York, NY
Salary
$145,000–$247,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $196k
$133k most similar roles pay here $259k

This role pays less than 56% of similar roles. Most pay $161,825–$246,150 — the shaded band above. At the midpoint, this role pays about $196k versus about $204k for comparable roles.

Based on 240 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 27 open roles on FindRole.

Listed pay typically runs $122,000–$209,000 across 27 roles with salary data.

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View all roles at T. Rowe Price

At a glance

TL;DR · Lead AI Software Engineer

Lead AI Software Engineer - T. Rowe Price Lab (MD or NYC) is a technical leadership role within the AI Engineering squad focused on building high-impact AI products. You will lead the architecture, design, and delivery of production-grade AI agents and intelligent systems while overseeing the incubation of new products and the development of reusable capabilities like agent orchestration, retrieval-based systems, and evaluation frameworks. The role involves making critical trade-offs regarding model selection, latency, cost, and security to ensure robust deployment. You will utilize Python, Java, or JavaScript/TypeScript within cloud-native environments using AWS and containerized microservices. This position addresses the challenge of translating complex business needs into scalable AI solutions that accelerate workflows and improve decision-making across the firm by establishing engineering standards for non-deterministic system behavior and ensuring high-quality, observable production outcomes.

What you'll do

  • Lead the architecture, design, development, and deployment of production-grade AI agents and intelligent systems.
  • Set technical direction for AI solutions by making trade-offs regarding models, infrastructure, latency, cost, and security.
  • Define engineering standards for production AI including evaluation, testing, observability, guardrails, and failure handling.
  • Develop reusable AI capabilities and shared platform components like agent orchestration and retrieval-based systems.
  • Evaluate emerging AI models and frameworks to determine appropriate adoption for firm-wide use.
  • Provide hands-on technical leadership, mentorship, and code reviews to improve engineering quality across teams.
  • Execute the Build-Operate-Transfer model by incubating new products and transitioning them to business-aligned teams.
  • Translate complex business requirements from stakeholders into robust AI architectures and scalable solutions.

What we're looking for

  • BS or MS in Computer Science or a related technical field, or equivalent practical experience.
  • 8+ years of progressive software engineering experience.
  • Extensive hands-on experience in object-oriented languages such as Python, Java, or JavaScript/TypeScript.
  • Deep hands-on experience designing and delivering AI-enabled systems, intelligent workflows, or agentic applications in production environments.
  • Strong expertise in modern AI engineering patterns including orchestration, retrieval-based systems, prompt engineering, and observability.
  • Extensive experience architecting cloud-native solutions using AWS or equivalent, containerized microservices, and APIs.
  • Demonstrated ability to mentor engineers and lead technical design and code reviews.
  • Experience establishing engineering standards across multiple teams (preferred); understanding of financial markets or asset management (preferred).

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