Lead Software Engineer, Full Stack

Lead the design and implementation of AI-native software engineering harnesses that leverage approved models and coding agents within governed control-plane capabilities. Build agentic workflow orchestration systems supporting planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments. Define and implement typed input/output contracts, schemas, and workflow state models to enable auditable and repeatable agentic execution. Develop trace capture, observability, and debugging for AI-assisted engineering workflows (prompt/output lineage, tool-call traces, model/runtime metadata, failure analysis). Integrate evaluation results into CI/CD and release workflows with quality gates for fidelity, build correctness, accessibility, security, performance, and human-review outcomes. Build reusable APIs, services, developer tooling, dashboards, and reference implementations to enable teams to adopt AI-native engineering practices consistently. Partner with application teams to migrate complex software and digital experiences using governed agentic workflows while preserving engineering quality and enterprise controls. Collaborate with Cyber, Risk, Responsible AI, Architecture, Product, and Platform teams to ensure solutions meet security, auditability, compliance, and operational readiness.