Specialist - Software Engineer (Agentic AI Engineering)

Job highlights

• Experience integrating services through APIs and MCP or comparable tool-integration patterns.
• 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
• Required qualifications
• Preferred qualifications

Job Summary

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.

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.

Job Description Summary

If you’re enthusiastic about delivering secure technology solutions to support a company providing extraordinary care to its customers, Nationwide Technology is the place for you. Nationwide’s industry-leading technology workfor…