Automation Engineer - Financial Systems AI

Centene Corporation is transforming the health of communities, and they are seeking an Automation Engineer to design and deploy AI-powered tools for the Finance organization. The role involves collaborating with stakeholders to improve processes and ensure compliance with data security requirements.

Responsibilities:

• Develops and supports end-to-end AI and automated solutions for Finance operations, including data pipelines, reporting applications, workflow automation, and AI-assisted analysis tools
• Collaborates with Finance analysts, data engineers, and business stakeholders to identify manual or inefficient processes and assist with designing technology-enabled solutions that reduce effort and improve data quality
• Assists in establishing and maintaining development standards, including version control practices, code review workflows, and continuous integration and delivery pipelines
• Contributes to the team's AI governance framework by registering tools in the appropriate registry, participating in design and review processes, and ensuring all solutions adhere to Centene data classification and compliance requirements
• Builds and maintains data transformation and integration workflows that serve as the foundation for Finance AI applications, ensuring data quality, consistency, and reliability
• Develops interactive Finance applications that surface AI-generated insights, automate reporting tasks, and provide self-service capabilities to Finance staff
• Provides ongoing support, troubleshooting, and incremental enhancements for deployed solutions
• Performs other duties as assigned
• Complies with all policies and standards

Requirements:

• A Bachelor's degree in Computer Science, Data Engineering, Information Systems required
• 0 – 2 years of related experience in software development, data engineering, or AI/Machine Learning systems required
• Foundational knowledge of software development principles and data engineering concepts
• Familiarity with automation tools, scripting languages, or analytics platforms used in enterprise environments
• Basic understanding of Artificial Intelligence or machine learning concepts, with emphasis on applied use rather than model research
• Ability to translate defined business requirements into technical solutions with guidance
• Strong attention to detail and commitment to data accuracy and quality
• Effective written and verbal communication skills, with the ability to collaborate across technical and non-technical teams