Specialist - Software Engineer (Agentic AI Engineering)
Nationwide · nationwide.com
Hyderabad
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The job in short
Agentic AI engineering.
PythonAWSLLMAgentic
Details
- Found
- 15 d ago · posted 2026-10-06
- Location as listed
- Telangana - Hyderabad, Building No. 14, Mindspace Madhapur, HITEC City
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
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:
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Analyses, solutions, develops, tests, debugs, documents and deploys software according to standards in an agile environment.
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Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
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Uses DevSecOps practices, tooling and techniques.
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Drives continuous improvement and learning through ongoing training, practice and innovation.
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Manages medium to large project priorities, deadlines and deliverables proactively.
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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:
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CI/CD
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Cloud Computing
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Programming Languages
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Software Development Life Cycle (SDLC)
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Software Engineering
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Software Security
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Software Testing
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Systems Integration
Soft Skills & Attributes:
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Strong communication and collaboration skills
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Analytical and problem-solving mindset
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Ability to work in agile and global environments
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Time management and prioritization
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Proficiency in one or more programming language such as Java, C++, Python, JavaScript.
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Strong knowledge of software development lifecycle.
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Proven ability to tackle complex business and development problems.
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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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