Healthcare AI Engineer (Associate) – Onsite Biweekly

Harper Adams University

West Virginia

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Emory Healthcare in Atlanta is seeking an Associate AI Engineer to support design, development, testing, and deployment of enterprise AI solutions under guidance of AI architects and senior engineers. You will collaborate with cross-functional teams to build secure, scalable AI applications for clinical, operational, and administrative initiatives, with regular onsite meetings every other week.

The role emphasizes hands-on coding, data ingestion, prompt engineering, pipeline orchestration, QA,

Qualifications

  • Bachelor’s degree required in CS/CE/DS/AI or related field.
  • 0-2 years in software, data, or AI engineering.
  • Healthcare or life sciences experience is a plus.
  • Azure/AWS certifications or Epic/SAFe certifications desirable.

Responsibilities

  • Assist in defining AI solution requirements and technical specs.
  • Participate in hands-on development of AI solutions under senior staff guidance.
  • Support testing, deployment, and optimization of AI applications.
  • Document technical solutions and development processes.
  • Collaborate with AI architects, product managers, and cross-functional teams.
  • Contribute to responsible AI practices and cloud/security considerations.

Skills

Python
SQL
AI/ML concepts
Data visualization
Communication
Cloud technologies

Education

Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or related field

Tools

Azure certifications
AWS certifications
Epic Systems certifications
SAFe Agile

Job description

Emory Healthcare in Atlanta is seeking an Associate AI Engineer to support design, development, testing, and deployment of enterprise AI solutions under guidance of AI architects and senior engineers. You will collaborate with cross-functional teams to build secure, scalable AI applications for clinical, operational, and administrative initiatives, with regular onsite meetings every other week.

The role emphasizes hands-on coding, data ingestion, prompt engineering, pipeline orchestration, QA,

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