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

• 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.

• 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.

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.

• AI/ML Technical Leadership
• Production LLM/GenAI Systems Ownership
• Large-Scale Code Analysis
• Engineering Team Leadership
• Technical Roadmap Management

• Software Engineering
• AI Engineering
• Machine Learning
• Data-Intensive Engineering
• Automated Remediation
• Developer Tooling
• Code Analysis
• Technical Roadmap Development
• SLA Performance Management
• Operational Process Establishment

• Team Leadership
• Cross-Functional Collaboration
• Communication
• Accountability
• Problem-Solving

• Bachelor’s Degree in Computer Science
• Master’s Degree Preferred

• Regulated Program Management
• Scan Operations
• Noise-Filter Governance
• Remediated-Code Generation
• Operational Independence