AI-Enabled Engineer, AWS Data & Automation

AbbVie Inc.

North Chicago (IL)

On-site

USD 110,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Medical/Dental/Vision
401(k) plan
Paid time off
Short-term incentive

Job summary

AbbVie Inc. is seeking an Engineer in Information Research (IR) to design, build, and operate AI-enabled solutions on AWS that automate work and surface insights for CBSO.

You will partner with CBSO stakeholders to define AI use cases, implement infrastructure as code with Terraform or CloudFormation, and deploy with CI/CD pipelines using GitHub Actions.

The role requires strong communication, documentation, and adherence to GxP and corporate standards.

Qualifications

  • Bachelor’s Degree with 4 years of experience; Master’s Degree with 2 years of experience.
  • Proventrack recordof deliveringprojectson time, performingroutine and complex tasks competently and independently,andgeneratingreliable and consistent results.
  • Strong communicationskills, with the ability to organize and present projectobjectivesand progress clearly to both technical teams and CBSO business stakeholders.

Responsibilities

  • Design, build, and operate data, software, or AI-enabled solutions on AWS, including generative AI and ML applications.
  • Partner with CBSO stakeholders to turn business needs into prioritized AI use cases with clear requirements and success measures.
  • Build, deploy, and operate solutions on AWS using infrastructure as code (Terraform or CloudFormation) and automated CI/CD pipelines (GitHub Actions).

Skills

AWS
Terraform
CloudFormation
CI/CD
GitHub Actions
Jira
Data pipelines
APIs
GxP compliance
Documentation
Communication

Education

Bachelor’s Degree
Master’s Degree

Tools

Terraform
CloudFormation
GitHub Actions

Job description

AbbVie Inc. is seeking an Engineer in Information Research (IR) to design, build, and operate AI-enabled solutions on AWS that automate work and surface insights for CBSO.

You will partner with CBSO stakeholders to define AI use cases, implement infrastructure as code with Terraform or CloudFormation, and deploy with CI/CD pipelines using GitHub Actions.

The role requires strong communication, documentation, and adherence to GxP and corporate standards.

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