AI Platform Engineer (Hybrid) — Enterprise Cloud

NBMBAA; Des Moines (IA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Paid time off and holidays

401(k) with company match

Pension plan

Job summary

Nationwide's Technology team seeks a Consultant, Software Engineering to design, build, operate, and continuously improve enterprise AI platforms and services at scale. You will translate requirements into secure, reliable capabilities, apply strong software practices, and contribute to reference architectures, controls, and accelerators.

The role emphasizes production readiness, observability, and cost visibility.

Qualifications

• Six or more years of programming, software engineering or systems analysis experience.
• Education: Undergraduate studies in computer science, MIS, mathematics, or related field preferred.
• Strong knowledge of software development lifecycle and ability to lead project teams.

Responsibilities

• Apply secure software and systems engineering practices across the delivery lifecycle.
• Mentor and train team members on design techniques, tools, and coding standards.
• Provide strategic technical advice to achieve business goals and technology strategy.
• Drive cross-collaboration across multiple teams and projects.
• Analyze, test, debug, document, and deploy moderately complex software.
• Champion DevSecOps practices to improve quality, security, and delivery.

Skills

Java

C++

Python

JavaScript

Leadership

DevSecOps

Observability

Cloud

Education

CS / MIS background

Tools

AWS AgentCore

AWS Bedrock

Strands

Model Context Protocol (MCP)

Job description

Nationwide's Technology team seeks a Consultant, Software Engineering to design, build, operate, and continuously improve enterprise AI platforms and services at scale. You will translate requirements into secure, reliable capabilities, apply strong software practices, and contribute to reference architectures, controls, and accelerators.

The role emphasizes production readiness, observability, and cost visibility.