AI IAM Architect

LPL Financial

Quick summary

Work type
On-site
Location
Fort Mill, SCCharlotte, NCNew York, NYSan Diego, CAAustin, TXTempe, AZ
Salary
$153,470–$255,749 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $205k
$140k most similar roles pay here $268k

This role pays more than 50% of similar roles. Most pay $170,000–$238,565 — the shaded band above. At the midpoint, this role pays about $205k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 43 open roles on FindRole.

Listed pay typically runs $135,960–$226,600 across 43 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · AI IAM Architect

As an IAM Architect with a focus on AI and agent integration at LPL Financial, you will lead the design and implementation of identity patterns for AI workloads and conversational agents across the enterprise. Your responsibilities include assessing existing SSO, MFA, federation, and API authorization models to identify gaps in delegation and token lifecycle management, designing secure IAM standards, and producing architecture artifacts. You will build POCs, configure OAuth/OIDC flows, and ensure regulatory compliance while partnering with AI/platform engineering teams. The role requires hands-on experience with PingOne AIC and Microsoft Entra ID, expertise in SAML, OAuth, OIDC, JWT, and authorization patterns, and familiarity with agent identity models and secure integration practices.

What you'll do

  • Discover and document AI/agent identity requirements across various components.
  • Design enterprise IAM patterns for secure, least-privilege access in AI use cases.
  • Lead the implementation of OAuth/OIDC client models and token flows for AI platforms.
  • Define standards for securing agent tools, data access, and cross-domain integrations.
  • Configure and test identity flows, troubleshooting tokens, scopes, and integrations.
  • Transition validated IAM patterns to engineering teams for production deployment.

What we're looking for

  • 10+ years of experience in IAM, security architecture, or platform engineering.
  • Proven ability to build and troubleshoot OAuth 2.0/OIDC flows for POCs.
  • Expertise with identity providers like PingOne AIC and Microsoft Entra ID.
  • Hands-on experience designing identity solutions for APIs, microservices, and BFF architectures.
  • Strong knowledge of SAML, OAuth, OIDC, JWT, scopes, and authorization patterns.
  • Experience integrating IAM with API gateways, AI/ML platforms, and modern application stacks.

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