Consultant, Software Engineer - Platform Engineering
About The Position
The Consultant, Software Engineering supports the design, development, operation, and continuous improvement of reusable enterprise AI platforms and services that help teams deliver trusted AI solutions at scale. Working within a cross-functional product and platform team, the role translates requirements into secure, reliable, and maintainable capabilities; applies strong software engineering practices; and contributes to shared patterns, reference architectures, controls, and accelerators. It also contributes to production readiness, service management, observability, supportability, and cost visibility for the capabilities it helps build and operate. The role calls for foundational expertise in software engineering and cloud technologies, a product and AI-first mindset, learning agility, collaboration skills, and ownership of operational outcomes amid ambiguity, including recognizing when to use a reusable platform capability rather than a one-off solution. The technical focus 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; cloud-native APIs, microservices, event-driven architectures, containers, IaC, CI/CD, and platform automation; and AI governance, security, responsible AI, and risk management. The position follows a hybrid schedule requiring 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 role does not qualify for employer-sponsored work authorization, and Nationwide does not participate in the STEM OPT Extension program. It is classified as exempt and is not eligible for overtime; associates may have on-call responsibility after normal working hours and/or on weekends. The position reports to a Technology Manager/Director.
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, or JavaScript.
- Knowledge of the software development lifecycle.
- Ability to tackle sophisticated business and development problems.
- Ability to thrive in a team environment.
- Ability to demonstrate Nationwide Values regularly and consistently.
- Must not require employer-sponsored work authorization; the role is not eligible for STEM OPT Extension.
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 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 implementing MCP.
- Experience with model management, including selection, evaluation, testing, versioning, deployment, monitoring, guardrails, and lifecycle management.
- Knowledge of 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 cloud-native APIs, microservices, event-driven architectures, containerization, IaC, CI/CD pipelines, and platform automation.
- Knowledge of AI governance, security, responsible AI controls, and risk management.
Responsibilities
- Support the design, development, operation, and continuous improvement of reusable enterprise AI platforms and services.
- Translate requirements into secure, reliable, and maintainable capabilities within a cross-functional product and platform team.
- Apply software engineering practices and contribute 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.
- Drive cross-team collaboration and project execution.
- 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.
- Manage multiple medium-to-large project priorities, deadlines, and deliverables proactively.
- Own operational outcomes and identify when reusable platform capabilities are preferable to one-off solutions.
- May perform other responsibilities as assigned.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short- and long-term disability coverage
- Paid time off, with newly hired associates receiving 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
