Software Engineer

Required Skills & Experience

○ 5+ years of software engineering experience, specifically with SDLC, DevSecOps, and CI/CD ○ Hands-on experience developing, deploying, and supporting applications in AWS environments, including AWS cloud architecture and deployment patterns ○ Experience with Amazon Bedrock or other AWS AI/ML services ○ Experience with Amazon ECS / EKS for containerized workloads ○ API and integration experience, specifically REST APIs ○ Front-end development in React ○ Back-end development in Python, with workflow experience in Camunda (used by Model Ops) ○ Data technologies, specifically SQL databases and data validation and reconciliation Experience developing enterprise applications and integrations

Nice to Have Skills & Experience

○ Azure experience (strongly preferred; the team plans to expand into Azure) ○ ModelOp Center administration and configuration ○ Responsible AI governance platforms ○ AI/ML lifecycle management solutions ○ Model inventory and model risk management processes ○ Regulatory, risk, compliance, or governance workflows ○ Power BI reporting ○ Data engineering experience, specifically Informatica for data cataloging ○ Experience integrating with international partners ○ Experience working in an Agile environment with scrum delivery Bachelor's degree in computer science, Software Engineering, Information Technology, or a related field

Job Description

Insight Global is seeking a Senior Software Engineer to help build and scale Prudential's Responsible AI governance platform within the Chief Data and AI Office. The ideal candidate brings strong full-stack engineering, API and integration expertise, and hands-on AWS development experience, along with the ability to build automation that improves governance, compliance, and operational efficiency across the AI lifecycle. In this role, you will design, develop, and maintain scalable solutions that support Prudential's Responsible AI governance ecosystem. Your focus will be the evolution of the AI Product Inventory, workflow automation, control validation, platform integrations, cloud-native capabilities, and data management. You will support AWS deployments and integrations and help the platform expand into Azure. You will work closely with Product Owners, Data Engineers, Platform Engineers, Risk, Compliance, Responsible AI stakeholders, and the data science team (for testing) to deliver secure, scalable, and highly automated governance solutions that support enterprise AI adoption. This role combines hands-on software development with technical leadership and solution design.