below marketmost similar roles pay hereabove market
This role pays less than
83%
of similar roles. Most pay
$156,515–$246,150
— the blue band above.
At the midpoint, this role pays about
$145k
versus about
$201k
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
101 open roles
on FindRole.
Listed pay typically runs
$122,673–$204,455
across 55 roles with salary data.
The AVP, AI Platform leads the product strategy and roadmap for a shared AI platform designed to help internal teams register, connect, and operate approved models, tools, and data in production. This role involves managing registries for agents, prompts, and MCP servers while owning runtime services for routing, access controls, and policy enforcement. The position requires building processes for testing, certification, and monitoring, as well as providing observability for drift detection and adversarial testing. Key technical requirements include fluency in APIs, gateways, identity and authorization, cloud architecture, and distributed systems. The role operates within a regulated financial services context, requiring the integration of audit records, privacy requirements, and FinOps cost-allocation measures to ensure responsible innovation and platform stability across various engineering and business functions.
Own the product strategy, roadmap, and operating measures for the shared AI platform.
Maintain registries for agents, tools, models, prompts, and workflows including versioning and status.
Define processes for registration, testing, certification, launch, monitoring, and retirement of AI assets.
Manage runtime services for routing, access controls, policy enforcement, and PII handling.
Provide production monitoring, drift detection, adversarial testing, and observability across all models and tools.
Partner with engineering teams on incident response, kill switches, quarantine procedures, and recovery testing.
Connect audit records, supervisory data, and certification evidence to the responsible review teams.
Collect usage and cost data to support FinOps forecasting, showback, and chargeback requirements.
What we're looking for
7+ 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 APIs, gateways, identity and authorization, cloud and data architecture, distributed systems, telemetry, and AI 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.
Strong communication skills, including the ability to explain technical choices, dependencies, and production issues to senior leaders (preferred).
Experience with AI agents, LLM gateways, Kong, MCP, A2A, tool registries, model registries, prompt management, or policy engines (preferred).
Experience with AI evaluation, drift detection, red teaming, observability, or model lifecycle management (preferred).
AI
Machine Learning
Identity and Access Management
APIs
Data Architecture
Non-Human Identity
MCP
Microsoft Copilot
Google Agent Spaces
Telemetry
Secure Software Delivery
Adversarial Testing
Model Evaluation
AI Firewalls
Quantum Computing