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LPL Financial Holdings

Independent broker-dealer platform for financial advisors

Assistant Vice President, AI Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • Seven or more years of product management experience, including ownership of a shared platform, developer platform, infrastructure product, or enterprise technical capability.
  • Experience owning product strategy, delivery, adoption, and production performance.
  • Technical fluency in application programming interfaces, gateways, identity and authorization, cloud and data architecture, distributed systems, telemetry, and artificial intelligence or machine-learning platforms.
  • Experience building services used by several product and engineering teams.
  • Experience working with engineering, Cybersecurity, Risk, Compliance, Privacy, Legal, data, Records Management, Supervision, and FinOps.

Responsibilities

  • Own the product strategy and roadmap for the shared AI platform.
  • Maintain registries for agents, tools, models, prompts, MCP servers, and A2A workflows, including ownership, versioning, approved use, dependencies, and status.
  • Provide product teams with a defined process for registration, testing, certification, launch, monitoring, change management, suspension, and retirement.
  • Own runtime services supporting routing, access controls, policy enforcement, rate limiting, tenant and entitlement boundaries, personally identifiable information handling, and AI firewall integration.
  • Establish shared approaches for knowledge access, data permissions, memory management, expiration, and deletion.
  • Provide output evaluation, production monitoring, drift detection, adversarial testing, and observability across models, tools, data, latency, failures, and workflow outcomes.
  • Partner with engineering teams on provider outages, incidents, kill switches, quarantine procedures, fallback behavior, and recovery testing.
  • Connect audit records, supervisory data, certification evidence, exceptions, and retention requirements to the responsible review teams.
  • Collect usage and cost data, apply rate limits, and provide FinOps with information supporting showback, chargeback, forecasting, and optimization.
  • Track adoption, onboarding time, availability, latency, failures, control coverage, exceptions, and cost, and use those measures to prioritize platform improvements.

Desired Qualifications

  • Strong communication skills, including the ability to explain technical choices, dependencies, and production issues to senior leaders.
  • Experience with AI agents, large language model gateways, Kong, MCP, A2A, tool registries, model registries, prompt management, or policy engines.
  • Experience with AI evaluation, drift detection, red teaming, observability, or model lifecycle management.
  • Experience in financial services or another regulated industry with records, supervision, privacy, audit, and cost-allocation requirements.

About the Company

LPL Financial Holdings

Independent broker-dealer platform for financial advisors

LPL Financial runs the largest independent broker-dealer network in the United States, providing a platform of services and support to financial advisors and institutions. It helps advisors manage client wealth by offering technology, research, clearing and compliance services, and practice management programs. Advisors access a flexible, non-proprietary environment where they can tailor financial recommendations for clients, with revenue coming from fees for services, securities commissions, and asset-based fees. The company supports more than 28,000 financial advisors and oversees over a trillion dollars in advisory and brokerage assets, distinguishing itself through its breadth of back-office capabilities, scalable platform, and emphasis on independence for its advisors. Its goal is to enable independent financial advisors to grow their businesses and deliver personalized investment solutions to their clients.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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