Hybrid Data and AI Engineer — AWS, Bedrock and LLMs

Cruise Planners

Florida

Hybrid

USD 120,000 - 170,000

Full time

8 days ago

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Job summary

Cruise Planners is seeking a Data & AI Engineer to design, build, and operate data and AI systems powering analytics and advisor-facing tools. You will combine production data engineering on AWS with applied generative-AI work on Amazon Bedrock and Strands SDK, working in a small team that builds end-to-end solutions.

Role involves prototyping, deploying, and operating services end-to-end, including data warehouses, knowledge bases, and agent frameworks, while maintaining observability and

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field; Master's preferred at Senior level.
  • Relevant production experience scaled to Data & AI Engineer I/II/Senior.
  • Authorization to work in the United States without sponsorship.

Responsibilities

  • Design and operate data pipelines on AWS — Glue, Step Functions, Lambda, EventBridge, S3 — feeding Redshift.
  • Stand up containerized production pipelines on AWS Fargate/ECS with monitoring.
  • Develop dimensional data models on Redshift for analytics.
  • Build and deploy Bedrock Knowledge Bases for retrieval-augmented generation.
  • Create AI-powered data products for reporting and automation.

Skills

AWS data services
Amazon Bedrock
Data warehousing
LLM frameworks
Infrastructure as code

Education

Bachelor's degree in CS/DS/Engineering
Master's degree preferred

Tools

Claude Code
MCP
AgentCore Runtime

Job description

Cruise Planners is seeking a Data & AI Engineer to design, build, and operate data and AI systems powering analytics and advisor-facing tools. You will combine production data engineering on AWS with applied generative-AI work on Amazon Bedrock and Strands SDK, working in a small team that builds end-to-end solutions.

Role involves prototyping, deploying, and operating services end-to-end, including data warehouses, knowledge bases, and agent frameworks, while maintaining observability and

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