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.
What You Will Do
- 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 DevOps 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.
What You Will Bring to the Role
- 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 DevOps 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.
Skills You Have
- 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. Applies modern engineering practices including APIs, microservices, design patterns, automated testing, and code quality standards.
- Cloud-Native Engineering: Develops and supports cloud-native applications utilizing AWS and modern cloud platforms. Applies distributed systems, serverless computing, containerization, observability, and scalable architecture principles.
- DevOps & Production Support: Implements CI/CD pipelines, automated testing, deployment processes, monitoring, and operational support practices that improve delivery speed, reliability, and system performance.
- Architecture & Technical Problem Solving: Evaluates technical challenges, analyzes system dependencies, identifies root causes, and develops effective solutions that balance business needs, scalability, security, and maintainability.
- Application Security: Integrates security practices throughout the software development lifecycle, including authentication, authorization, secure coding, vulnerability management, and protection of sensitive customer and business data.
- Adaptive Communication: Communicates effectively with engineers, product teams, architects, leadership, and business stakeholders to drive alignment, influence decisions, and deliver successful business outcomes.
- Technical Leadership & Mentoring: Provides technical guidance, mentorship, code reviews, and knowledge sharing while promoting engineering excellence, collaboration, and continuous improvement across the team.
- Learning Agility & Innovation: Continuously evaluates emerging technologies, AI capabilities, and engineering practices while demonstrating curiosity, adaptability, ownership, and a commitment to ongoing learning and innovation.
Compensation Range:
Pay Range - Start:
$108,160.00
Pay Range - End:
$162,240.00
Geographic Specific Pay Structure:
Structure 110:
$118,960.00 USD - $178,440.00 USD
Structure 115:
$124,400.00 USD - $186,600.00 USD
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
Skills
Data Literacy (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM), Learning Agility & Critical Thinking (NM), Cross Functional Partnering & Planning (NM), DevOps (NM), Customer Centricity (NM), Cloud Technology (NM), Coaching & Mentoring (NM), Software Problem Solving (NM), Analytical Thinking (NM), Technical Problem Solving (NM), Software Development (NM), Accountability (NM), Talent Development & Planning (NM), Strategic Thinking (NM), Adaptive Communication (NM), Root Cause Analysis & Decision Quality (NM)
FIND YOUR FUTURE
We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging.
- Flexible work schedules
- Concierge service
- Comprehensive benefits
- Employee resource groups
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 5+ years of professional software engineering experience building enterprise applications
- Experience developing, deploying, and supporting AI and Generative AI solutions in production
- Experience with object-oriented design, APIs, microservices, design patterns, and testing strategies
- Experience developing and supporting cloud-native applications using AWS or similar cloud platforms
- Experience implementing DevOps practices, including CI/CD, automated testing, release management, and operational support
- Strong architecture, debugging, troubleshooting, and technical problem-solving skills
- Understanding of application security, authentication, authorization, and secure development practices
- Ability to communicate technical concepts effectively with technical and non-technical audiences
- Ability to lead technical initiatives, mentor team members, and influence engineering best practices
- Experience working in Agile software development environments
- Experience with Agentic AI frameworks and orchestration platforms
- Experience with Retrieval-Augmented Generation architectures
- Experience integrating Large Language Models into enterprise applications
- Experience with prompt engineering, model evaluation, and responsible AI practices
- Experience with 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
What We Do
You’ll Like It Here At Northwestern Mutual, we believe that our lives and our work matter. And that doing what’s right is good for everyone. We follow through by designing tech that improves the community and cultivating creative ways to make finance accessible anywhere. These guiding principles have allowed our company to grow for more than 160 years. Here, you’ll be with a team who emphasizes integrity and prioritizes security to design experiences that better everyone. You’ll work in cross functional teams to create optimal solutions that are rooted in innovative strategy and thoughtful execution. And you’re provided development tools and opportunities to become a leader all with the support of a collaborative team. You’ll be surrounded in a culture that values innovation and works to always evolve to stay ahead of trends and client needs. We are intentional in seeking out team members who will challenge us. Our employees choose us for the career opportunities, commitment to philanthropy and desire to have a meaningful impact in the lives of our clients. You have career passions and goals. We have ambition and opportunity for you to grow your future in tech. Discover today: https://careers.northwesternmutual.com/
Why Work With Us
We invest in our people. We know careers are about choices, so we provide intentional opportunity. Here you can build creative ways to make finance accessible anywhere and revolutionize traditional processes. As a mutual company, our focus is our people — whether professional development or investments in the community.
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