Sr Software Engineer - Artificial Intelligence Platform Team

Company Description

Why Wellmark: We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we’ve built our reputation on over 80 years’ worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors–our members. If you’re passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today!

Why Wellmark Technology? Wellmark is building innovative, modern solutions using cutting edge technology. We are driving organizational transformation and business strategy by empowering our technology team to innovate new and elegant solutions to enhance the customer experience. Together, we are leaning into the future, owning the outcome, and driving organizational change to transform how we work. 

Job Description

As a Senior Software Engineer on Wellmark’s AI & Analytics Platform team, you will play a pivotal role in building the company’s foundational AI infrastructure and custom engineered solutions. This team is responsible for designing, developing, and operationalizing secure, scalable, and compliant AI platforms including Retrieval-Augmented Generation (RAG), chatbots, and agentic agent solutions. You will help design and implement reusable frameworks, SDKs, and backend services on AWS, while collaborating closely with engineers, product managers, QA, and stakeholders. This is a hands-on engineering role with opportunities to mentor, innovate, and shape Wellmark’s enterprise AI capabilities from the ground up. 

Qualifications

Preferred: 

• Strong engineering discipline with hands-on experience building backend services, cloud infrastructure, and enterprise-grade APIs/microservices (RESTful and event-driven) using AWS technologies (CDK, Lambda, Step Functions, Bedrock, S3, SNS, SQS, EventBridge, DynamoDB, MongoDB, Aurora/Postgres, EC2/ECS, CloudWatch, Glue, AWS Batch, API Gateway). 
• Deep expertise in AWS Cloud Development Kit (CDK) for infrastructure-as-code, including authoring, testing, and maintaining reusable constructs and patterns. 
• Experience implementing automated testing strategies at unit, integration, and end-to-end levels, and hands-on experience with CI/CD pipelines using GitHub Enterprise Actions or similar tools. 
• Demonstrated experience building secure, compliant solutions in regulated environments (HIPAA, SOC2, etc.), including embedding security best practices into API and backend service design (authentication, authorization, data protection). 
• Experience engineering AI/ML platforms, frameworks, or reusable components (RAG, chatbots, agentic agents, etc.). 
• Familiarity with AI Ops practices for monitoring, benchmarking, and ensuring compliance of AI solutions. 
• Exposure to building and supporting real-time data pipelines or streaming integrations. 
• AWS certifications (Practitioner, Solutions Architect) are a plus. 
• Prior experience in health insurance, healthcare, or other regulated industries. 
• Experience participating in POCs, hackathons, or demos with stakeholders. 
• Strong innovation mindset and ability to drive process improvements. 
• Demonstrated ability to approach complex technical challenges with creativity and resourcefulness, leveraging strong problem-solving skills. 
• Experience working within an Agile team environment. 
• Ability or interest in mentoring/coaching others. 

Required: 

• Bachelor’s degree in Computer Science, MIS, or related field of study, and at least 2 years of software development experience (ex. Angular, NodeJS, TypeScript, C++, .NET, Java, SQL) OR 6 years of related and applicable experience. 
• Strong analytical problem-solving skills. Accuracy and high attention to detail. Previous experience troubleshooting and developing creative technical solutions. Ability to provide innovative solutions to complex issues. 
• Demonstrated experience in software development lifecycle methodologies. 
• Big picture thinker with the ability to translate the value of the WaaS strategy to company strategy when making design and development decisions. 
• Demonstrated, strong ability to gather information, perform necessary research needed for root cause analysis, problem definition and formulation, recommend solution implementation, verification, and ongoing optimization, using data to support recommendations and best practices. 
• Demonstrated ability to build relationships to reach outcomes that gain the support and acceptance of all parties. Ability to communicate key information in a timely manner to the appropriate stakeholder audience with the ability to adjust communication style