VPII, Software Engineering Manager & AI Lead - M&A & Partner Integration

Overview

Lead with Purpose, unlock your team’s passion. LPL Financial seeks a hands-on 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 combines technical depth in LLM/GenAI systems, disciplined engineering execution, and people leadership to improve code remediation quality, scan throughput, and operating cost at scale.

• Own the Tenant Engine roadmap and operating rhythm: prioritize remediation automation, portfolio-scale scanning, and the SME-gated regeneration loop to sustain migration progress.
• Direct regeneration cycles: lead each scan → noise-filter → LLM-validation → remediated-code generation cycle, incorporating SME feedback and maintaining measurable progress through the Discovery loop.
• Govern noise-filter rules and prompts: review and approve NF rule changes and validator/sampler prompt iterations, balancing false positives, must-fix coverage, and migration risk.
• Lead and develop the team: supervise the Applied AI Engineer, AI Platform Engineer, and scan-operations analysts; set goals, remove blockers, and run the weekly engine standup.
• Oversee scan operations at scale: ensure scan coverage, SLA performance, output integrity, and per-finding cost across ~900+ repositories in partnership with platform engineering.
• Coordinate cross-track handoffs: partner with DB & App and E2E QE leads to move remediated findings into migration execution and represent the engine in Architecture Review Board decisions related to G-category RLS/batch work.
• Report quality and economics: translate false-positive rate, actionability, throughput, and unit-cost trends for senior leadership and governance forums.
• Build operational independence: establish runbooks and processes so the engine can operate, improve, and scale without executive intervention.

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and help clients succeed. We value creativity, continuous improvement, and a culture of winning together and sharing joy in work.

• AI/ML and engineering leadership: 10+ years of progressive software, AI, ML, platform, or data-intensive engineering experience, including 5+ years in AI/ML or platform technical leadership and 3+ years leading engineering teams.
• Production LLM/GenAI ownership:
  Experience owning production LLM/GenAI systems, including prompt and evaluation pipelines, LLM validation at scale, and output quality/cost gating on AWS Bedrock or equivalent.
• Roadmap and delivery at scale:
  Experience owning a technical roadmap and delivering across teams in large-scale or regulated programs, including portfolio-scale systems with hard deadlines.
• Static analysis and automated remediation:
  Experience leading large-scale code analysis, automated remediation, developer tooling, or similar engineering productivity programs with the depth to review code, prompts, and architecture decisions.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience;
  Master’s degree preferred.

• Hands-on technical leadership: credibility through sound technical judgment while developing the team to operate with increasing independence.
• Systems thinking and prioritization: optimize the full scanning, validation, remediation, and handoff pipeline while focusing SME and engineering capacity on must-fix work.
• Decisive executive communication: make evidence-based decisions on NF rules and prompts, and clearly communicate quality, cost,…