Software Engineer III

Northwestern Mutual is seeking a Software Engineer III to join a team focused on transforming our servicing applications through Agentic AI. In this role, you will design, build, deploy, and support full-stack AI-powered solutions that improve servicing experiences, operational efficiency, and business outcomes. This position is ideal for a software engineer with hands-on production experience developing AI and Generative AI solutions who enjoys solving complex business problems through modern engineering practices.

You will work across the full software development lifecycle, applying Agentic AI technologies, cloud-native architectures, and software engineering best practices to deliver scalable, secure, and reliable solutions. You will collaborate closely with engineers, product teams, architects, and business stakeholders to take solutions from concept through production while helping the team evolve its AI development capabilities, technical standards, and engineering practices.

• Design, build, test, deploy, and support Agentic AI and Generative AI solutions in production environments.
• Develop scalable APIs, microservices, and full-stack applications that integrate AI capabilities into business workflows.
• Partner with product, engineering, and business teams to identify opportunities where AI can drive business value.
• Leverage modern software engineering practices including test automation, code reviews, design patterns, and continuous integration.
• Develop and support cloud-native applications and services utilizing AWS technologies and modern architecture patterns.
• Contribute to Dev Ops practices including CI/CD pipelines, monitoring, observability, release management, and production support.
• Troubleshoot complex technical and production issues while identifying sustainable long-term solutions.
• Participate in architecture discussions and provide recommendations for scalable, secure, and maintainable solutions.
• Establish and share engineering best practices, standards, and AI development approaches across the team.
• Mentor engineers through technical guidance, collaboration, code reviews, and knowledge sharing.

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of professional software engineering experience building enterprise applications.
• Demonstrated experience developing, deploying, and supporting AI and Generative AI solutions in production environments.
• Strong software engineering fundamentals including object-oriented design, APIs, microservices, design patterns, and testing strategies.
• Experience developing and supporting cloud-native applications utilizing AWS or similar cloud platforms.
• Experience implementing Dev Ops practices including CI/CD, automated testing, release management, and operational support.
• Strong architecture, debugging, troubleshooting, and technical problem-solving skills.
• Understanding of application security principles, authentication, authorization, and secure development practices.
• Ability to communicate technical concepts effectively with both technical and non-technical audiences.
• Demonstrated ability to lead technical initiatives, mentor team members, and influence engineering best practices.
• Experience working within Agile software development environments.
• Nice to Have Experience with Agentic AI frameworks and orchestration platforms.
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Experience with prompt engineering, model evaluation, and responsible AI practices.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience with serverless architectures and event-driven systems.
• Experience building observability and monitoring solutions for AI-enabled applications.
• Exposure to AI-assisted software development tools and practices.
• Prior technical leadership or solution architecture experience.

• AI & Generative AI Engineering:
  Designs, develops, deploys, and supports AI and Generative AI solutions in production environments. Applies knowledge of Agentic AI, LLMs, prompt engineering, model evaluation, retrieval-based solutions, and responsible AI practices to solve business problems and improve engineering outcomes.
• Software Engineering:
  Designs, develops, tests, maintains, and supports scalable software applications throughout the full software development lifecycle.…