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nationwide

Specialist - Software Engineer (Agentic AI Engineering)

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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.

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Role summary

Design, build, evaluate, and operate secure agentic AI solutions that help teams automate common work, improve self-service, and accelerate decision-making. This role will create the agent orchestration, tool integrations, evaluation approach, and guardrails required to move AI use-cases from prototype to reliable production capability. Engineers will use Nationwide’s established Golden Path and standard development tool chain


Key responsibilities

  • Build and deploy agentic AI solutions using AWS Bedrock AgentCore and Python with the Strands framework.
  • Design agent workflows that use approved tools, APIs, and Model Context Protocol (MCP) servers to retrieve context and take bounded actions.
  • Integrate agents with enterprise APIs, knowledge sources, workflow platforms, and cloud-security services in partnership with the API Developer.
  • Implement guardrails for identity, authorization, tool permissions, prompt and response handling, data classification, logging, evaluation, and human approval.
  • Develop automated evaluation suites for accuracy, safety, latency, cost, and task completion; use results to continuously improve agent behavior.
  • Implement CI with GitHub Actions and CD with Harness for agent code, configuration, prompts, evaluations, and deployment artifacts.
  • Partner with SMEs to curate approved knowledge, define escalation paths, and establish human-in-the-loop controls for high-risk actions.
  • Monitor production agent usage, failures, hallucination patterns, and tool-call outcomes; maintain runbooks and operational dashboards.
  • Contribute reusable agent patterns, MCP integration standards, prompt conventions, and reference implementations for the CPS AI Build Line.

Required qualifications

  • Strong experience in secure software engineering, machine-learning engineering, or AI engineering experience with deploying agent to AWS and building IaC code to deploy applications
  • Experience with AWS Bedrock and/or AWS Bedrock AgentCore; experience with Strands is required.
  • Strong Python development experience, including testing, packaging, API integration, and production support.
  • Hands-on experience building and deploying LLM-based or agentic applications.
  • Experience integrating services through APIs and MCP or comparable tool-integration patterns.
  • Experience implementing CI/CD with GitHub Actions and Harness or comparable enterprise tooling.
  • Strong understanding of AI security, secure coding, access control, data handling, and production observability.
  • Ability to explain AI-system behavior, limitations, risks, and controls to technical and nontechnical stakeholders.

Preferred qualifications

  • Experience with retrieval-augmented generation, knowledge grounding, vector search, and document-processing pipelines.
  • Experience with agent evaluation frameworks, red teaming, guardrails, prompt-injection defenses, and human-in-the-loop controls.
  • Experience with Kubernetes, AWS, and cloud-security services.
  • Build and deploying Cloud Native applications using Infrastructure-as-Code: CDK/Helm Charts to AWS/K8s environments
  • Experience building AI products in cyber security, cloud engineering, or another regulated domain.
  • Experience with Agile product delivery and cross-functional engineering teams.
  • Ability to learn emerging technologies quickly and apply engineering discipline to build maintainable, production-ready solutions.

Other expectations

  • Build reusable, secure, observable software that follows Nationwide’s AWS Golden Path and standard technology stack.
  • Prioritize engineering quality, automated testing, security, resilience, and maintainability alongside delivery speed.
  • Collaborate across core product team and cross-train with operational team, develop run books and move capabilities into production.

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Job Description Summary

If you’re enthusiastic about delivering secure technology solutions to support a company providing extraordinary care to its customers, then Nationwide Technology is the place for you. Nationwide's industry-leading technology workforce embraces an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to hear from you!

As a Software Engineer, you will focus primarily on providing high quality, efficient technology solutions to business partners by crafting new software applications or modifying and/or supporting existing packaged or custom-built applications. In this capacity, you’ll analyze, code, configure, test, debug, document and maintain applications.

Job Description

Key Responsibilities:

  • Analyses, solutions, develops, tests, debugs, documents and deploys software according to standards in an agile environment.

  • Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.

  • Uses DevSecOps practices, tooling and techniques.

  • Drives continuous improvement and learning through ongoing training, practice and innovation.

  • Manages medium to large project priorities, deadlines and deliverables proactively.

  • Additional responsibilities may include collaboration across teams and adherence to company standards.

Qualifications & Experience:

Education:

Undergraduate studies in computer science, management information systems, or other related degree. Technology experience or non-traditional technology certificates can be substituted for an undergraduate degree.

Experience:
Four or more years of analysis and technology experience.

Technical Skills:

  • CI/CD

  • Cloud Computing

  • Programming Languages

  • Software Development Life Cycle (SDLC)

  • Software Engineering

  • Software Security

  • Software Testing

  • Systems Integration

Soft Skills & Attributes:

  • Strong communication and collaboration skills

  • Analytical and problem-solving mindset

  • Ability to work in agile and global environments

  • Time management and prioritization

  • Proficiency in one or more programming language such as Java, C++, Python, JavaScript.

  • Strong knowledge of software development lifecycle.

  • Proven ability to tackle complex business and development problems.

  • Ability to thrive in a team environment. Insurance/financial services industry knowledge a plus.

Additional Information:

Reporting Structure:
Reports to Manager or Director.

Location Flexibility:
Hybrid with periodic in-office collaboration

Equal Opportunity Statement:
Nationwide is committed to diversity and inclusion. All qualified applicants will be considered without regard to race, gender, disability, religion, or other protected categories.

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