AVP, Software Engineer - Artificial Intelligence

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. #LI-RR1 Job Description Summary If you’re passionate about building and operating secure, reliable technology platforms that help Nationwide deliver extraordinary care, then this opportunity may be the place for you. Our technology workforce embraces an agile, collaborative, and inclusive culture to deliver outstanding solutions and results. As the AVP, Software Engineer – Artificial Intelligence, you’ll provide strategic direction and executive oversight for an enterprise portfolio of shared AI platforms, systems, agent capabilities, model and tool catalogs, evaluation and observability tooling, reusable services, patterns, guardrails, and controls. You’ll own the portfolio lifecycle—from strategy and build-ahead investment through production readiness, adoption, reliable operation, continuous improvement, and retirement—and lead the people, financial, and supplier strategies required to sustain these capabilities.

Key Responsibilities Defines the strategy, operating model, product discipline, and multi-year roadmap for AI Platform Engineering, Core Capabilities and Operations in alignment with enterprise technology, architecture, security, risk, data, and business priorities. Translates enterprise demand, technology and AI trends, adoption data, operational performance, cost, and reuse opportunities into prioritized investments with clear service boundaries, adoption paths, and measurable outcomes. Leads the proactive development and responsible adoption of reusable AI and agent capabilities, model and tool catalogs, platform services, testing and evaluation frameworks, observability, and cost-management capabilities. Ensures platform investments demonstrate credible demand, architectural fit, measurable reuse, strong developer experience, safe self-service, responsible financial stewardship, and appropriate risk and control requirements. Maintains responsible AI, model governance, evaluation, safety, privacy, security, provenance, access, and lifecycle practices for shared AI and agent capabilities. Holds accountability for availability, reliability, resiliency, performance, capacity, security, observability, supportability, lifecycle health, and cost management across the assigned AI systems and tooling portfolio. Establishes production-readiness, service-management, resilience, security, privacy, access, versioning, migration, deprecation, and retirement practices; monitors adoption, reuse, reliability, quality, risk, cost, and consumer satisfaction. Partners with Build Alongside and Build For organizations and enterprise stakeholders to understand needs, co-design reusable solutions, guide adoption, and incorporate feedback into the portfolio roadmap. Provides platforms, reference architectures, guardrails, documentation, training, and enablement that help delivery teams create business value more quickly and safely. Owns budgeting, forecasting, workforce planning, capital and expense planning, vendor spend, licensing, investment trade-offs, and unit-cost and consumption measures. Governs portfolio intake, prioritization, sequencing, dependencies, risk, capacity, supplier performance, and executive reporting across portfolio health, delivery, adoption, operations, financial performance, and outcomes. Leads a multidisciplinary software engineering organization, including workforce planning, hiring, performance management, compensation, career development, succession, training, recognition, and organizational