Software Engineering Manager – AI Lead, M&A & Partner Integration

LPL Financial

AI Engineering Manager at LPL Financial managing the Tenant Engine, a critical AI-powered remediation framework. Leading engineering teams and overseeing large-scale operations for code migration.

Posted 7/20/2026full-timeSan Diego • South Carolina, Texas • 🇺🇸 United StatesSenior💰 $211,356 - $352,260 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in AI/ML and platform engineering, with a strong focus on leading engineering teams and managing production LLM/GenAI systems. Proven ability to oversee large-scale code analysis and automated remediation processes while ensuring operational independence and effective cross-team collaboration.

Highest-signal resume keywords

AI/ML Technical LeadershipProduction LLM/GenAI Systems OwnershipLarge-Scale Code AnalysisEngineering Team LeadershipTechnical Roadmap Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI EngineeringMachine LearningData-Intensive EngineeringAutomated RemediationDeveloper ToolingCode AnalysisTechnical Roadmap DevelopmentSLA Performance ManagementOperational Process Establishment

Soft Skills

Team LeadershipCross-Functional CollaborationCommunicationAccountabilityProblem-Solving

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree Preferred

Industry Keywords

Regulated Program ManagementScan OperationsNoise-Filter GovernanceRemediated-Code GenerationOperational Independence

About the role

Key responsibilities & impact

Own the Tenant Engine roadmap and operating rhythm: prioritize remediation automation, portfolio-scale scanning, and the SME-gated regeneration loop
Direct regeneration cycles: lead each scan → noise-filter → LLM-validation → remediated-code generation cycle
Govern noise-filter rules and prompts: review and approve NF rule changes and validator/sampler prompt iterations
Lead and develop the team: supervise the Applied AI Engineer, AI Platform Engineer, and scan-operations analysts
Oversee scan operations at scale: hold accountability for scan coverage, SLA performance, output integrity, and per-finding cost
Coordinate cross-track handoff: partner with DB & App and E2E QE leads
Report quality and economics: translate false-positive rate, finding actionability, throughput, and unit-cost trends into clear updates for senior leadership
Build operational independence: establish runbooks, processes, and team capability so the engine can operate, improve, and scale without executive intervention.

Requirements

What you’ll need

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
Experience owning a technical roadmap and deliver across teams in a large-scale or regulated program
Experience leading large-scale code analysis, automated remediation, developer tooling, or similar engineering productivity programs
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; Master’s degree preferred.

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off