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

Job summary

Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees. If you're ready to lead with intention and discover what’s possible, LPL*** invites you to apply today.

Benefits

Qualifications

• At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights.
• Roadmap and delivery at scale: Experience owning a technical roadmap and deliver across teams in a large-scale or regulated program, including systems operating at portfolio scale and delivery against hard deadlines.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; Master’s degree preferred.
• Core Competencies
• Hands-on technical leadership: Earns credibility through sound technical judgment while developing the team to operate with increasing independence.
• Systems thinking and prioritization: Optimizes the full scanning, validation, remediation, and handoff pipeline while focusing scarce SME and engineering capacity on must-fix work.
• Decisive executive communication: Makes evidence-based decisions on NF rules and prompt changes, then communicates quality, cost, throughput, and risk clearly to senior stakeholders.
• Preferences
• Experience operationalizing AI in a regulated financial-services or other compliance-driven environment.
• Familiarity with AWS-native ML/data infrastructure such as Bedrock, EKS, Neptune, S3, Step Functions, and infrastructure-as-code practices.
• Background in multi-tenancy, platform consolidation, or large-scale application-modernization programs.
• Pay Range:

Responsibilities

• Own the Tenant Engine roadmap and operating rhythm: prioritize remediation automation, portfolio-scale scanning, and the SME-gated regeneration loop to keep migration work moving on cadence.
• Direct regeneration cycles: lead each scan noise-filter LLM-validation remediated-code generation cycle, incorporating SME feedback into successive rounds and sustaining 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-positive reduction with recall, 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: hold accountability for scan coverage, SLA performance, output integrity, and per-finding cost across approximately 900+ repositories in partnership with platform engineering.
• Report quality and economics: translate false-positive rate, finding actionability, throughput, and unit-cost trends into clear updates for senior leadership and governance forums.
• Build operational independence: establish runbooks, processes, and team capability so the engine can operate, improve, and scale without executive intervention.
• What are we looking for?
• 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 are driven to help our clients succeed.
• We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

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Degrees

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Industry