Sr Consultant, Software Engineer (AI Engineer)

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.

This role will work a hybrid schedule coming into the Columbus, Ohio (preferred), Des Moines, Iowa, or Scottsdale, Arizona office 2 days per week. Remote internal associates may also be considered.

Role Purpose

The Sr Consultant, Software Engineer (AI Engineer) is accountable for turning AI strategy into trusted, reusable technology capabilities that enable Nationwide to build and operate AI Systems at scale. This leader connects enterprise technology, business architecture, transformation strategy, and delivery teams to move from experimentation to secure, measurable, and repeatable business outcomes.

The role owns the technology-side enablement agenda: defining the capability roadmap and target state; coordinating shared capability development across the enterprise; ensuring reusable products, patterns, and platforms are built; leading a small engineering pod focused on experimentation and capability building; and helping the organization develop the skills and ways of working required for an AI-native future.

Key Responsibilities

• Own the technology AI Enablement strategy, roadmap, outcomes, and investment priorities across AI platforms, architecture, data, integration, security, quality, observability, and operational controls.
• Ensure the capabilities required to build and run AI Systems are available through reusable reference architectures, golden paths, engineering patterns, toolchains, knowledge-grounding approaches, evaluation methods, monitoring, auditability, and human-oversight controls.
• Lead a small, highly capable pod of engineers focused on experimentation, rapid proofs of concept, and reusable AI capability building.
• Lead technology consultants who help delivery teams improve AI readiness, adopt approved patterns, and embed the AI-Assisted Delivery Lifecycle (AI-DLC) into day-to-day work.
• Lead shared capability development across enterprise technology and partner organizations, clarifying centralized and federated responsibilities and reducing duplicate or one-off solutions.
• Treat reusable AI capabilities as products: establish vision, roadmaps, backlogs, lifecycle ownership, adoption plans, service health measures, and continuous improvement practices.
• Partner with business architects and transformation strategists to map current and future states, redesign value streams, identify where AI, automation, and human judgment should fit, and sequence pragmatic transformation horizons.
• Partner with enterprise AI, architecture, data, cybersecurity, risk, privacy, engineering, product, and business leaders to ensure solutions are secure, responsible, scalable, explainable, and aligned to enterprise standards.
• Help teams move proven concepts from prototype to production by establishing repeatable intake, prioritization, delivery, quality, and operationalization practices.
• Help support upskilling, cascade of Enterprise AI Fluency efforts,  and development of key change management tactics in support of the strategic priorities set forth.
• Define and communicate measures of success, including adoption, reuse, cycle time, quality, reliability, risk/control performance, capacity released, and business value realized.
• Lead and develop the team while influencing broadly through matrixed teams, shared services, strategic partners, and business stakeholders.

What You’ll Bring

• Significant experience leading technology s...

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