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About the Role

LPL Financial is seeking an AI engineering leader to own the Tenant Engine, a critical AI-powered static-analysis and remediation framework supporting a high-visibility, portfolio-scale multi-tenant migration. This role is ideal for a builder who can combine technical depth in LLM/GenAI systems, disciplined engineering execution, and people leadership to improve code remediation quality, scan throughput, and operating cost at scale.

Responsibilities

Own the Tenant Engine roadmap and operating rhythm, prioritizing remediation automation, portfolio-scale scanning, and the SME-gated regeneration loop.
Direct regeneration cycles including scan, noise-filter, LLM-validation, and remediated-code generation, incorporating SME feedback.
Govern noise-filter rules and prompts, reviewing and approving changes to balance false-positive reduction with recall, must-fix coverage, and migration risk.
Lead and develop the team, supervising engineers and analysts, setting goals, removing blockers, and running weekly standups.
Oversee scan operations at scale, holding accountability for scan coverage, SLA performance, output integrity, and per-finding cost across approximately 900+ repositories.
Coordinate cross-track handoff with DB & App and E2E QE leads for remediated findings into migration execution.
Report quality and economics, translating trends into clear updates for senior leadership and governance forums.
Build operational independence by establishing runbooks, processes, and team capability for engine operation and improvement.

Requirements

10 or more years of progressive software, AI, ML, platform, or data-intensive engineering experience.
5 or more years in AI/ML or platform technical leadership.
3 or more years directly leading engineering teams.
Experience owning production LLM/GenAI systems, including prompt and evaluation pipelines, LLM validation at scale, and output quality/cost gating on AWS Bedrock or an equivalent foundation-model platform.
Experience owning a technical roadmap and delivering across teams in a large-scale or regulated program.
Experience leading large-scale code analysis, automated remediation, developer tooling, or similar engineering productivity programs.
Ability to review code, prompts, and architecture decisions.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Master’s degree preferred.

Skills

AI/ML
LLM/GenAI systems
Static analysis
Automated remediation
Developer tooling
Prompt engineering
Evaluation pipelines
AWS Bedrock
Systems thinking
Prioritization
Executive communication

Location

Remote

Work Type

Full-time

Experience Level

10+ years of experience
5+ years of technical leadership
3+ years of team leadership

Education Level

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
Master's degree preferred

Salary/Compensations

$211,356.00 - $352,260.00

Benefits

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off

About the Company

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S.
A leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions.
Services and custodies approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.
Provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services.
At LPL, independence means 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.
For further information about LPL, please visit www.lpl.com.

Equal Opportunity

Principals only.
EOE.