Hybrid Data & AI Engineer — AWS, Bedrock & LLM Pipelines

Cruise Planners HQ; Florida; Hybride; USD 110 000 - 190 000; Plein temps

Résumé du poste

Cruise Planners HQ is seeking a Data & AI Engineer to design, build, and operate data and AI systems powering analytics, advisor-facing products, and internal automation. You will work with AWS data services (Glue, Redshift, Lambda, S3) and Bedrock tooling to create scalable data pipelines and AI-powered applications.

The role involves hands-on development with Claude Code and MCP servers, building end-to-end data products, and maintaining quality with logs, alerts, and runbooks.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• Relevant production experience scaled to level (Data & AI Engineer I / II / Senior).
• Authorization to work in the United States without sponsorship.
• Experience with AWS data and serverless services, Bedrock and agent frameworks.

Responsabilités

• Design and operate data pipelines on AWS — Glue, Step Functions, Lambda, EventBridge, S3 — feeding the Redshift data warehouse.
• Stand up and operate containerized production pipelines on AWS Fargate / ECS with monitoring and alarms.
• Design dimensional data models on Redshift for analytics.
• Implement document-extraction pipelines using Bedrock Data Automation blueprints.
• Build Bedrock Knowledge Bases for retrieval-augmented generation.
• Build agents using the Strands Agents SDK on Bedrock AgentCore.

Connaissances

Python

SQL

Communication

Problem solving

Formation

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field

Master’s degree preferred (Senior level)

Outils

AWS data services

Amazon Bedrock

AgentCore

Claude Code

MCP servers

Description du poste

Cruise Planners HQ is seeking a Data & AI Engineer to design, build, and operate data and AI systems powering analytics, advisor-facing products, and internal automation. You will work with AWS data services (Glue, Redshift, Lambda, S3) and Bedrock tooling to create scalable data pipelines and AI-powered applications.

The role involves hands-on development with Claude Code and MCP servers, building end-to-end data products, and maintaining quality with logs, alerts, and runbooks.