Data & AI Engineer

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.

• Design and operate AWS data pipelines using Glue, Step Functions, Lambda, Event Bridge, 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 Cloud Watch 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 Agent Core, 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.

• 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.

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

• 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 work streams 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, Agent Core 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.

AWS, Glue, Redshift, Step Functions, Lambda, S3, Event Bridge, AWS Fargate, ECS, Cloud Watch, Amazon Bedrock, Data Automation, Knowledge Bases, Agent Core, Strands Agents SDK, Claude Code, MCP servers, Python, SQL, Infrastructure-as-code.

Coral Springs, FL (hybrid).