Lead AI Support & Enablement Engineer

T. Rowe Price

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MD
Salary
$110,000–$188,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $149k
$94k $257k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $162,000–$231,475 — the blue band above. At the midpoint, this role pays about $149k versus about $197k 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 35 open roles on FindRole.

Listed pay typically runs $121,000–$206,000 across 35 roles with salary data.

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View all roles at T. Rowe Price

At a glance

TL;DR · Lead AI Support & Enablement Engineer

The Lead, AI Support & Enablement Engineer will own the technical build-out and operation of enterprise AI platform integrations. This role involves designing and maintaining connectors for vendors like Microsoft, OpenAI, Anthropic, ServiceNow, and Salesforce. Key responsibilities include implementing control-plane guardrails for agentic capabilities, managing identity and entitlement controls, and serving as an L3/L4 technical escalation point for platform defects. The engineer will lead the AI support model, overseeing triage, SLAs, and user onboarding while managing relationships with high-touch business groups. Required skills include experience with SSO/SAML/OIDC, SCIM provisioning, RBAC design, Apigee, and Microsoft Graph. The position addresses the technical challenge of integrating enterprise applications via APIs while ensuring data residency, DLP, and compliance logging within a highly regulated financial services environment.

What you'll do

  • Design, build, and maintain enterprise AI connectors and integration points for various vendors.
  • Implement and operate control plane guardrails for agentic and autonomous AI capabilities.
  • Serve as the L3/L4 technical escalation point for platform defects and connector failures.
  • Lead the AI support model by defining triage paths, SLAs, and knowledge base content.
  • Manage user enablement through onboarding, training, and adoption guidance for business groups.
  • Partner with development teams on technical discovery and readiness artifacts for platform handoffs.
  • Own provisioning and entitlement hygiene for license access and vendor admin configurations.
  • Maintain logging, telemetry, and observability pipelines to support monitoring and governance.

What we're looking for

  • Must have 5+ years of experience in integration/platform engineering, identity & access engineering, or enterprise SaaS administration.
  • Must have experience leading or mentoring engineers and running a technical support or enablement function.
  • Must have proven relationship management and stakeholder communication skills, including supporting senior, high-touch business users.
  • Must have hands-on experience with SSO/SAML/OIDC, SCIM provisioning, RBAC design, and enterprise identity platforms.
  • Must have experience integrating enterprise applications via APIs, API gateways like Apigee, Microsoft Graph, or MCP-based patterns.
  • Must have familiarity with AI platform administration including Microsoft 365 Copilot, ChatGPT Enterprise, or Anthropic Claude.
  • Must have an understanding of agentic AI risk concepts and control-plane/guardrail design.
  • Must have experience with observability/logging tooling and FinOps/usage reporting for SaaS or cloud platforms.
  • Must be able to produce and maintain technical runbooks, architecture/control documentation, and registry/evidence artifacts.
  • Must be comfortable operating as an L3/L4 escalation point and partnering with vendor support teams.
  • Experience in financial services or another highly regulated industry (preferred).

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