Senior AI Solutions Architect — Data & Integrations

CADDi

Chicago (IL)

On-site

USD 150,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Stock options
401k with company match
Paid time off

Job summary

CADDi is seeking a hands-on technical leader to own the architecture and delivery of data and AI integrations for US manufacturers. You will prototype, build, and productionize data features, while collaborating with Sales, Product, and Customer teams to scope and demonstrate value.

Responsibilities include end-to-end delivery from discovery to handover, developing APIs, and ensuring scalable architectures. Travel up to 30% as projects require.

Qualifications

  • 5–10 years building production-grade data or application solutions.
  • Proficient in Python and SQL; comfortable with other languages.
  • Strong API integration experience (REST/GraphQL), auth models, and webhooks.
  • Cloud-native delivery: containers (Docker), CI/CD, and deployments to major clouds.
  • Git-centric workflow, code reviews, testing practices, and documentation discipline.

Responsibilities

  • Own solution architecture and end-to-end delivery: from discovery to POC, testing, and handover.
  • Hands-on development: design, prototype, and build data/AI features and integrations.
  • Solution demos and technical workshops; iterate quickly on POCs to prove value.
  • Productionize data flows; instrument logging/metrics, tests, security, and deployment pipelines.
  • Pre-sales technical support: shape SOWs, right-size scope and estimates, and de-risk delivery.

Skills

Python
SQL
Data pipelines
CI/CD
Git workflows
Cloud platforms
REST/GraphQL APIs
Docker

Tools

AWS
GCP
Azure

Job description

CADDi is seeking a hands-on technical leader to own the architecture and delivery of data and AI integrations for US manufacturers. You will prototype, build, and productionize data features, while collaborating with Sales, Product, and Customer teams to scope and demonstrate value.

Responsibilities include end-to-end delivery from discovery to handover, developing APIs, and ensuring scalable architectures. Travel up to 30% as projects require.

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