AVP, Software Engineering Lead

- Define and lead the AI engineering strategy aligned to enterprise technology, Data & AI, and business priorities. - Own end-to-end software engineering reimagination and rollout of AI-first tools and processes to our technology organization. - Ensure AI-first software solutions are engineered for security, resiliency, performance, cost efficiency, and operational sustainability.

- Establish and evolve AI-first engineering standards, patterns, and best practices, including GenAI and agent-augmented development approaches. - Drive adoption of AI-assisted development tooling and modern engineering accelerators to improve developer productivity and quality. - Partner with Architecture and Platform teams to define reusable AI engineering reference architectures, integration patterns, and guardrails. - Promote consistency and scale across AI implementations while enabling innovation and responsible experimentation.

- Drive acceleration and efficiency using AI across software engineering teams, balancing speed, quality, risk, and cost. - Strengthen and champion AI-first SDLC, DevSecOps, CI/CD, and automation practices. - Ensure production readiness through robust testing, observability, monitoring, and incident response practices. - Use data-driven insights to improve delivery predictability, flow efficiency, and engineering health.

- Partner with Data & AI, Risk, Legal, Compliance, Cybersecurity, and Architecture teams to ensure AI engineering solutions meet enterprise governance and regulatory expectations. - Implement required engineering controls, including logging, auditability, model integration controls, and operational safeguards. - Ensure alignment with the Enterprise AI Operating Model, risk tiering, and approval processes. - Proactively identify and mitigate technology, security, and operational risks associated with AI-enabled systems.

- Elevate high-performing software engineering teams with AI-first mindset. - Provide leadership, mentorship, and coaching to senior engineering talent. - Drive workforce strategy, succession planning, and capability uplift aligned to future-ready AI and engineering skills. - Foster a culture of accountability, innovation, continuous improvement, and engineering excellence.

- 15+ years of technology experience in software engineering, including 5+ years leading engineering teams. - Led AI centric software engineering transformations - Proven experience building software engineering practices, with a special focus on AI-first engineering. - Deep expertise in agentic AI concepts and architectures, including multi-agent systems and non-deterministic workflows. - Strong systems thinking and ability to operate across strategy, architecture, and execution. - Demonstrated success influencing distributed, and cross-functional engineering teams. - Experience operating within regulated, risk-sensitive environments (insurance or financial services strongly preferred). - Excellent communication skills with the ability to influence senior leaders across Technology, Data & AI, and the Business. - Bachelor's degree in computer science, Engineering, Data Science, or related field (advanced degree preferred).

- Expertise building and leveraging Agentic AI solutions in support of software engineering processes and reimagining the software lifecycle with an AI lens. - Expertise implementing modern software engineering practices, cloud-native architectures, API-driven and event-based systems. - Strong background in CI/CD, DevSecOps, automation-first delivery, and reliability engineering. - Familiarity with AI-assisted development tools, AI platforms, and modern engineering accelerators. - Experience defining engineering standards, reference architecture, and platform reuse strategies