Senior Software Engineer - Responsible AI Platform

Insight Global

Newark (NJ)

In loco

USD 140.000 - 190.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

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.

You will design, develop, and maintain scalable solutions across the AI lifecycle, including product inventory, workflow automation, platform integrations, cloud-native capabilities, and data management, with

Competenze

  • 5+ years of software engineering with SDLC, DevSecOps, and CI/CD.
  • Hands-on AWS deployments and cloud architecture experience.
  • Experience with Amazon Bedrock or other AWS AI/ML services.
  • Experience with ECS/EKS for containerized workloads.
  • REST API development and integration experience.
  • Front-end development in React.
  • Python back-end with Camunda workflow experience.
  • SQL databases and data validation/reconciliation.
  • Azure experience preferred; team plans to expand to Azure.
  • Experience delivering enterprise applications and integrations.

Mansioni

  • Design, develop, and maintain scalable governance solutions for the AI platform.
  • Evolve the AI Product Inventory, workflow automation, and platform integrations.

Conoscenze

SDLC/CI-CD
AWS Cloud
REST API
React Frontend
Python Backend
Camunda Workflow
SQL Databases

Formazione

Bachelor's degree in Computer Science or related

Strumenti

AWS
Amazon Bedrock
ECS/EKS
Camunda
Informatica
Power BI
Azure

Descrizione del lavoro

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.

You will design, develop, and maintain scalable solutions across the AI lifecycle, including product inventory, workflow automation, platform integrations, cloud-native capabilities, and data management, with

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