Data & AI Engineer

Cruise Planners; Florida; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Cruise Planners seeks a Data & AI Engineer to design, build, and operate data and AI systems that accelerate analytics, advisor experiences, and internal automation. The role blends AWS production data engineering with applied generative AI work using Bedrock and agent development with the Strands SDK.

You will deploy end-to-end data pipelines, build knowledge bases for retrieval-augmented generation, and create AI-powered applications for advisors and internal teams, while ensuring data privacy

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or related field.
• Master's degree 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 AWS data pipelines using Glue, Step Functions, Lambda, EventBridge, and S3, delivering data into Redshift.
• Stand up and run containerized production pipelines on AWS Fargate or ECS with alarms and health monitoring.
• Design dimensional data models including facts, conformed dimensions, and analytics marts in Redshift.
• Implement document-extraction pipelines using Bedrock Data Automation for structured outputs via webhook or queue.
• Build and operate Bedrock Knowledge Bases for retrieval-augmented generation, including indexing and latency tuning.
• Build agents using Strands Agents SDK on Bedrock AgentCore with supervisor and sub-agent topologies.

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering

Master's degree preferred at Senior level

Tools

AWS

Glue

Redshift

Step Functions

Lambda

S3

EventBridge

AWS Fargate

ECS

CloudWatch

Amazon Bedrock

Bedrock Data Automation

Knowledge Bases

AgentCore

Strands Agents SDK

Claude Code

MCP servers

Python

SQL

Infrastructure-as-code

Job description

The Data & AI Engineer at Cruise Planners designs, builds, and operates data and AI systems that support analytics, advisor-facing experiences, and internal automation. The role combines AWS production data engineering with applied generative AI work using Amazon Bedrock and agent development with the Strands Agents SDK.

Responsibilities

• Design and operate AWS data pipelines using Glue, Step Functions, Lambda, EventBridge, and S3, delivering data into the Redshift data warehouse.
• Stand up and run containerized production pipelines on AWS Fargate or ECS for scheduled ingest or scraping, enrichment, and delivery, with CloudWatch alarms and health monitoring.
• Design dimensional data models including facts, conformed dimensions, and analytics marts in Redshift built on a zero-ETL replica of the operational source.
• Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints, producing structured outputs for downstream consumers via webhook or queue.
• Build and operate Bedrock Knowledge Bases for retrieval-augmented generation, covering source preparation, indexing, retrieval evaluation, and cost and latency tuning.
• Build agents using the Strands Agents SDK on Bedrock AgentCore, including supervisor and sub-agent topologies, tool definitions, and deployment hardening.
• Create applied-LLM data products that support reporting, search, and agentic operations.
• Deploy and operate AWS services end to end, including internal web apps and demos.
• Build internal tooling and integrations, including MCP servers.
• Prototype and ship AI-powered applications for advisors and internal teams.
• Maintain operational quality through logs, alarms, runbooks, on-call response, and post-incident notes, while continuously monitoring quality and data-privacy compliance.
• Perform day-to-day development with Claude Code, using project-scoped MCP servers and documenting decisions and architecture in the team wiki.

Requirements

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

Required Education

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

Levels

• Data & AI Engineer I: Executes scoped work end to end under guidance and ships well-defined pipelines, blueprints, or Knowledge Base load jobs.
• Data & AI Engineer II: Owns workstreams end to end (design, build, deploy, operate) and makes architecture choices within an established pattern, producing a playbook that a peer can ship from.
• Senior Data & AI Engineer: Owns multi-system architecture and introduces new patterns without precedent (for example, AgentCore deployment or multi-agent topology). Coaches peers, represents the team in cross-functional design, and operates across the full stack including Fargate production pipelines, inbound AWS deployments, applied-LLM data products, and end-to-end agent architecture.

Technologies

AWS, Glue, Redshift, Step Functions, Lambda, S3, EventBridge, AWS Fargate, ECS, CloudWatch, Amazon Bedrock, Data Automation, Knowledge Bases, AgentCore, Strands Agents SDK, Claude Code, MCP servers, Python, SQL, Infrastructure-as-code.

Location

Coral Springs, FL (hybrid).