Consultant, Software Engineer - Platform Engineering

Nationwide Mutual Insurance•Columbus, OH

2d•Hybrid

About The Position

The Consultant, Software Engineer supports the design, development, operation, and continuous improvement of reusable enterprise AI platforms and services. Working within a cross-functional product and platform team, this role translates requirements into secure, reliable, and maintainable capabilities and contributes to shared patterns, reference architectures, controls, and accelerators. The role also supports production readiness, service management, observability, supportability, and cost visibility. It calls for foundational software engineering and cloud expertise, an AI-first and product-oriented mindset, learning agility, collaboration, and ownership of operational outcomes while navigating ambiguity. The engineer should recognize when to use a reusable platform capability rather than a one-off solution. The technical environment includes AWS AgentCore and AWS Bedrock; agent orchestration frameworks such as Strands; Model Context Protocol (MCP); model selection, evaluation, testing, versioning, deployment, monitoring, guardrails, and lifecycle management; token economics and AI cost optimization; reliability, observability, security, and cost controls; APIs, microservices, event-driven architectures, containerization, Infrastructure as Code, CI/CD pipelines, and platform automation; and AI governance, responsible AI controls, and risk management. The position follows a hybrid work schedule, with in-office attendance two days per week in Columbus, Ohio (preferred), Des Moines, Iowa, or Scottsdale, Arizona. Current internal associates working remotely may also be considered. The position reports to a Technology Manager/Director. It is exempt and not eligible for overtime. Associates may have on-call responsibility after normal working hours and/or on weekends.

Requirements

Six or more years of programming, software engineering, or systems analysis experience.
Hands-on technical leadership experience leading project teams and setting technical direction.
Proficiency in one or more programming languages such as Java, C++, Python, and JavaScript.
Knowledge of the software development lifecycle.
Demonstrated ability to tackle sophisticated business and development problems.
Ability to thrive in a team environment.
Foundational expertise in software engineering and cloud technologies.
Learning agility, collaboration skills, and willingness to own operational outcomes while navigating ambiguity.

Nice To Haves

Undergraduate studies in computer science, management information systems, mathematics, or a related field are strongly preferred.
Three years of project management experience is preferred.
Insurance or financial services industry knowledge is a plus.
Experience with AWS AgentCore and AWS Bedrock for enterprise AI applications and agents.
Experience with agent orchestration frameworks such as Strands and Model Context Protocol (MCP).
Experience with model management practices, including selection, evaluation, testing, versioning, deployment, monitoring, guardrails, and lifecycle management.
Experience with token consumption analysis, usage forecasting, model utilization monitoring, inference cost management, and financial governance.
Experience with reliability, observability, security, cost controls, monitoring, logging, distributed tracing, incident management, performance tuning, resiliency patterns, and SLOs.
Experience with APIs, microservices, event-driven architectures, containerization, Infrastructure as Code, CI/CD pipelines, and platform automation.
Experience with AI governance, security, responsible AI controls, and risk management.

Responsibilities

Design, develop, operate, and continuously improve reusable enterprise AI platforms and services.
Translate requirements into secure, reliable, and maintainable capabilities and contribute to shared patterns, reference architectures, controls, and accelerators.
Contribute to production readiness, service management, observability, supportability, and cost visibility.
Apply secure software and systems engineering practices throughout the delivery lifecycle to protect data and technology solutions from threats and vulnerabilities.
Mentor and train team members on design techniques, tools, and coding standards.
Provide strategic technical advice on using technology to achieve business and technology goals and strategy.
Drive cross-collaboration and project execution across multiple teams.
Analyze solutions and develop, test, debug, document, and deploy moderately complex software according to standards and best practices.
Champion DevSecOps practices, tooling, and techniques to improve software quality, security, automation, and delivery efficiency.
Proactively manage multiple medium to large project priorities, deadlines, and deliverables.
May perform other responsibilities as assigned.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability coverage
Paid time off: newly hired associates receive a minimum of 18 days per full calendar year, prorated quarterly based on hire date
Nine paid holidays
Eight hours of Lifetime paid time off
Eight hours of Unity Day paid time off
401(k) with company match
Company-paid pension plan
Business casual attire