VP, AI Platform

LPL Financial•Fort Mill, SC

2d•$135,960 - $226,600•Hybrid

About The Position

The Vice President, AI Platform leads product management for LPL’s enterprise AI Agent Platform, which enables teams across the firm to build, govern, deploy, monitor, and control AI agents at scale. This role owns the end-to-end platform strategy, defining how agents are developed, certified, operated, and retired within a secure, compliant, and production-ready environment. Partnering closely with engineering, security, risk, and business stakeholders, this leader ensures the platform delivers consistent controls, strong governance, and scalable capabilities that support advisor, operations, compliance, and corporate use cases.

Requirements

8+ years of product management experience, including ownership of platform, infrastructure, developer, data, AI, or enterprise technology products
Experience building or scaling platforms used by multiple internal teams, business units, or product groups
Experience with production AI, machine learning, automation, data, or agent-based systems, including areas such as identity, orchestration, evaluation, observability, or workflow automation
Experience operating in regulated or enterprise environments where security, privacy, compliance, and audit requirements influence product delivery
Strong technical understanding of APIs, cloud platforms, access controls, data systems, and production operations

Nice To Haves

Ability to write clear product requirements and communicate technical decisions to business, risk, and executive stakeholders
Bachelor’s degree in a related field or equivalent practical experience
Experience with AI agent infrastructure, including agent identity, tool permissions, gateway enforcement, registries, evaluation frameworks, or audit trails
Experience with responsible AI, model risk management, AI governance, or similar control frameworks

Responsibilities

Define and execute the product vision, roadmap, and operating model for the AI Agent Platform, including lifecycle management from ideation through production and retirement
Establish platform standards for agent identity, authentication, authorization, and governance, including scoped access, tool permissions, credential lifecycle, and enforcement controls
Define and manage the system of record for agents, including registries for models, prompts, tools, ownership, versions, approvals, and production status
Develop and enforce agent qualification and certification processes, including evaluation requirements, risk tiering, human-in-the-loop controls, and compliance reviews prior to deployment
Define audit, logging, and recordkeeping requirements covering agent decisions, outputs, tool usage, user interactions, and approval workflows
Establish and govern data protection standards, ensuring consistent classification and handling of sensitive, client, advisor, and firm data across all agents
Implement controls for incident response, including capabilities to suspend, throttle, roll back, quarantine, or disable agents, along with defined escalation and resolution processes
Own platform telemetry, monitoring, evaluation frameworks, drift detection, and alerting to measure agent performance, reliability, and business outcomes
Define and manage cost controls, including usage tracking, rate limiting, budget attribution, and consumption reporting across agents, teams, and models
Lead product input into build, buy, and partner decisions across platform components, including orchestration, gateways, evaluation, observability, registries, and tooling
Partner with engineering, architecture, security, data, risk, compliance, and business teams to define requirements, data contracts, service levels, and adoption strategies