AVP IAM AI Engineer

LPL Financial

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Fort Mill, SCCharlotte, NCNew York, NYSan Diego, CAAustin, TXTempe, AZ
Employment: Full-time
Posted: 77 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $189k

$128k $241k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $148,830–$229,750.

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 101 open roles on FindRole.

Listed pay typically runs $122,673–$204,455 across 55 roles with salary data.

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At a glance

TL;DR · AVP IAM AI Engineer

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The AVP, IAM AI Engineer joins the team to design, operationalize, and automate identity controls for human and non-human actors, specifically focusing on AI agents and non-human identities. This role involves building runtime controls, secrets workflows, and governance guardrails to enable safe AI adoption. Key responsibilities include developing secrets-manager workflows, enforcing least-privilege authorization as policy-as-code, and establishing reference architectures for agent-to-agent and workload-to-service authentication. The engineer will use Ping Identity, SailPoint, and HashiCorp Vault or Idira. Required skills include Python, Terraform, CI/CD pipelines, and REST API integration across AWS, Azure, or GCP. The role addresses the technical challenge of securing emerging agentic systems, LLMs, and containerized workloads while ensuring compliance within a regulated financial services environment.

Skills

IAM Ping Identity SailPoint HashiCorp Vault Python Terraform Kubernetes AWS Azure GCP OIDC OAuth 2.0 CI/CD REST API SPIFFE SPIRE mTLS SIEM Policy-as-Code

What you'll do

Operationalize and automate identity runtime controls for human and non-human identities.
Design and automate governance controls for AI agents, including provisioning and rotation.
Develop automated secrets-manager workflows for AI systems and agents.
Define and enforce fine-grained, least-privilege authorization models using policy-as-code.
Establish standards and reference patterns for identity flows in agentic systems.
Partner with engineering teams to integrate identity and secrets handling into new AI applications.
Integrate identity telemetry with SIEM/SOC tools for monitoring and anomaly detection.
Recruit, mentor, and lead a team to support non-human identity workstreams.

What we're looking for

5+ years of experience in identity and access management or information security, including hands-on engineering.
Demonstrated experience building and/or leading technical teams.
5+ years of experience with Ping Identity or a comparable access-management/federation platform.
5+ years of experience with SailPoint or a comparable identity governance and administration platform.
3+ years of experience with Idira/HashiCorp Vault or a comparable secrets-management platform.
Proficiency in scripting/programming languages like Python, infrastructure-as-code like Terraform, CI/CD pipelines, and REST API integration.
Experience applying IAM in cloud environments (AWS, Azure, and/or GCP) and in containerized/Kubernetes workloads.
Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience (preferred).

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