Lead Software Engineer - AI Platform Team

About the role

The AI Platform team within Information Products is seeking a Lead Software Engineer to design and deliver secure, scalable, and observable platform services that power AI-enabled products, agents, and intelligent workflows. This role serves as a hands-on technical leader, partnering with engineers, architects, product leaders, and governance stakeholders to shape how AI is responsibly adopted and operated at Wellmark.

Responsibilities

• Help build the Apollo AI Platform: a governed, composable foundation for building and operating AI-powered applications.
• Design and deliver secure, scalable, and observable platform services that power AI-enabled products, agents, and intelligent workflows.
• Collaborate with engineers, architects, product leaders, and governance stakeholders to shape how AI is responsibly adopted and operated at Wellmark.
• Develop reusable platform capabilities, shared services, SDKs, templates, and internal developer enablement patterns that accelerate delivery across multiple teams.
• Implement automated testing strategies across unit, integration, and end-to-end levels, and hands-on experience with CI/CD pipelines using GitHub Enterprise Actions or similar tools.
• Participate in project proposals, estimates, and proof-of-concept activities as needed.
• Maintain awareness of industry’s best practices and standards and proactively participate in industry/knowledge reference groups relative to role.

Qualifications

• Hands-on engineering experience building backend services, cloud infrastructure, and enterprise-grade APIs or microservices, including RESTful and event-driven patterns.
• Experience with AWS technologies such as CDK, Lambda, Step Functions, Bedrock, S3, SNS, SQS, EventBridge, DynamoDB, MongoDB, Aurora/Postgres, EC2/ECS, CloudWatch, Glue, AWS Batch, and API Gateway.
• Deep experience with AWS Cloud Development Kit (CDK) or comparable infrastructure-as-code frameworks, including authoring, testing, and maintaining reusable constructs and standards.
• Experience with AI platform capabilities or reusable AI solution patterns such as model access routing, prompt lifecycle management, RAG templates, knowledge retrieval, chatbots, agentic workflows, or AI evaluation frameworks.
• Familiarity with AI operations practices such as observability, telemetry, model/prompt benchmarking, quality evaluation, cost tracking, and compliance evidence capture.
• Experience with real-time data pipelines, streaming integrations, or event-driven data processing.
• Bachelor’s degree in Computer Science, MIS, or related field of study and at least 5 years of development experience (ex. Angular, NodeJS, Python, C++, .NET, Java, SQL) OR 9 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.
• Demonstrated ability to communicate with and coach/mentor team members, while setting an example in maintaining a positive attitude, staying calm under pressure, being approachable, and respecting others.
• Big picture thinker with the ability to translate the value of the Wellmark as a Service (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.
• 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 that will best suit the audience.
• Able to thrive in fast-paced environment with changing priorities. Excellent organizational skills. Strong time management skills with the ability to set and meet established timeframes with little direction, while assuring data and information integrity.
• Eagerness to learn and stay current on industry trends and have a continuous learning mindset.
• Ability to collaborate and work as a team to accomplish goals and/or solve problems. Ability to earn trust and respect from peers, leadership, and stakeholders. Ability to learn by actively listening and applying coaching feedback.
• Ability to lead, support and work within a diverse development team model including global staffing, crowd sourcing, etc.