Job Details

Overview

Industry: Insurance and Financial Services

What to Expect (Job Responsibilities)

• Build production deployment pipelines for AI and generative AI models in AWS Bedrock and SageMaker
• Develop full stack integrations (APIs, back-end, front-end) to enhance enterprise applications with AI capabilities
• Collaborate with Data Scientists to translate prototypes into scalable solutions
• Optimize workloads for performance, cost efficiency, and reliability in AWS
• Ensure AI solutions meet security, compliance, and operational standards

What is Required (Qualifications)

• 5+ years of professional development experience with applications built and deployed using Python
• Familiarity with AWS services including Bedrock, SageMaker, and Lambda
• Knowledge of full stack development (front-end, back-end, APIs) and integrating AI/ML models into production systems
• Strong problem-solving skills and ability to collaborate across engineering and data science teams
• Must be located in the United States or Puerto Rico with access to a high-speed internet connection

How to Stand Out (Preferred Qualifications)

• Experience integrating generative AI models into applications
• Knowledge of monitoring, logging, and cost optimization in cloud-native environments
• Exposure to enterprise-scale deployments and system integrations

#Insurance #AIEngineering #RemoteWork #CareerOpportunity #Innovation #DiversityAndInclusion

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