AVP, IAM AI Engineer
Quick Summary
Identity runtime controls. Operationalize and automate identity runtime controls across human and non-human identities, including real-time authentication, authorization, and policy enforcement.
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
We are looking for an AVP, IAM AI Engineer to design, operationalize, and automate the identity controls that govern both human and non-human actors across our environment — with a specific focus on AI agents and the emerging class of agentic and non-human identities (NHI). This is a hands-on engineering and technical leadership role: you will build the runtime controls, secrets workflows, and governance guardrails that let the organization adopt AI safely, while standing up and growing a team to sustain and scale that work. You will be embedded in new AI application development from the earliest design stages, ensuring identity, authentication, and authorization are built in rather than bolted on.
Responsibilities
~1 min readWe’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
~1 min read5+ years in identity & access management or information security, including hands-on engineering.
Demonstrated experience building and/or leading technical teams.
5+ years with Ping Identity (PingFederate / PingOne / PingAccess) or a comparable access-management / federation platform.
5+ years with SailPoint (IdentityIQ / Identity Security Cloud) or a comparable identity governance & administration (IGA) platform.
3+ years with Idira (CyberArk, formerly Conjur) / HashiCorp Vault or a comparable secrets-management platform.
Working knowledge of identity and authorization for both users and agents: user-to-agent and agent-to-agent (A2A) patterns, OIDC and OAuth 2.0/2.1 tokens, and API keys, across both authentication (AuthN) and authorization (AuthZ).
Strong automation and engineering skills: proficiency in a scripting/programming language (e.g., Python), infrastructure-as-code (e.g., Terraform), CI/CD pipelines, and REST API integration.
Experience applying IAM in cloud environments (AWS, Azure, and/or GCP) and in containerized / Kubernetes workloads.
Familiarity with workload-identity and machine-identity standards: SPIFFE/SPIRE, OAuth token exchange (RFC 8693), mTLS, and cloud workload-identity federation.
Working understanding of AI/agentic systems: LLMs, agent frameworks, tool-calling, and emerging authentication patterns such as the Model Context Protocol (MCP).
Experience in a regulated industry (financial services, healthcare, etc.) and with associated compliance regimes.
Relevant certifications, e.g., CISSP, CyberArk (Defender/Sentry), SailPoint, Ping, or a major cloud security certification.
Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
#LI-Hybrid
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
Location & Eligibility
About this job
- Pay per year
- $122,570–$204,249 a year
- 22% below the $210,000 median for Machine Learning Engineer jobs on Jobera (944 salaries).
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- October 28, 2026
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