C
Data & AI Engineer
Cruise Planners
2 hours ago
Full-time
On-site
Tallahassee, Florida, United States
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).
#J-18808-Ljbffr
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).
#J-18808-Ljbffr