AI Engineer

Harper Adams University; Tucker (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Student loan assistance

Family benefits

Wellness incentives

Mentorship programs

Leadership programs

Job summary

Emory Healthcare in Atlanta is seeking an experienced AI Engineer to design, develop, and deploy enterprise AI/ML solutions that advance clinical, operational, and administrative initiatives. This role emphasizes hands-on development and collaboration with cross-functional teams.

You will mentor junior engineers, promote engineering best practices, and ensure regulatory compliance, including HIPAA, while collaborating with product managers and stakeholders to deliver scalable AI solutions.

Qualifications

• Advanced knowledge of AI/ML concepts and tools.
• Experience in healthcare or life sciences preferred.
• Familiarity with HIPAA and GDPR compliance.

Responsibilities

• Define AI solution requirements, estimate user stories, and develop specifications.
• Design, develop, test, deploy, and optimize AI/ML solutions including data ingestion and deployment.
• Mentor junior engineers and promote engineering best practices.

Skills

AI Engineering

Cloud-based development

Mentorship

Agile methodologies

Education

Bachelor’s degree in Computer Science, Computer Engineering, Analytics

Tools

Azure

AWS

Epic Systems

Job description

Overview

Be inspired. Be rewarded. Belong. At Emory Healthcare.

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorshipand leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be.

We provide:

• Comprehensive health benefits that start day 1
• Student Loan Repayment Assistance & Reimbursement Programs
• Family-focused benefits
• Wellness incentives
• Ongoing mentorship,development,and leadership programs
• And more

Atlanta based position requiring one onsite meeting bi-weekly.

Description

The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical, operational, and administrative initiatives. This role serves as a hands‑on technical contributor, collaborating with architects, product managers, and cross‑functional stakeholders to deliver scalable, secure, and compliant AI solutions. The AI Engineer also mentors junior team members, promotes engineering best practices, and supports the adoption of responsible AI technologies across the organization.

*Atlanta based position requiring one onsite meeting bi-weekly.*

RESPONSIBILITIES

AI Solution Design and Development

• Partner with product managers, AI architects, and technical stakeholders to define AI solution requirements, estimate user stories, and develop technical specifications.
• Design, develop, test, deploy, and optimize AI and machine learning solutions, including: Data ingestion and preparation Prompt engineering Pipeline orchestration and deployment Quality assurance testing and solution validation Front-end development and integration.
• Conduct structured experiments to evaluate prompting strategies, retrieval techniques, and model performance.
• Contribute to reusable code, templates, technical assets, and engineering standards that improve solution delivery and maintainability.

Technical Collaboration and Solution Delivery

• Collaborate with AI architects, engineers, compliance, security, enterprise architecture, infrastructure, data, and business stakeholders to develop secure, scalable, and compliant AI solutions.
• Ensure AI solutions align with responsible AI principles, enterprise architecture standards, and applicable regulatory requirements, including HIPAA.
• Participate in code reviews, technical design discussions, and solution validation activities.

Technical Leadership and Mentorship

• Mentor junior engineers, analysts, and data scientists on AI development methodologies, engineering best practices, and technical problem-solving.
• Promote agile development methodologies, engineering rigor, continuous improvement, and software quality standards.
• Reinforce standards for code quality, testing, validation, documentation, and technical excellence.

PREFERRED QUALIFICATIONS

• Education: Advanced Degree in Business Administration, Computer Science, Analytics, Healthcare Administration, or a related field.
• Experience:
• 2+ years of experience developing machine learning/artificial intelligence solutions within healthcare or life sciences.
• 4+ years of relevant software engineering, data engineering, or AI engineering experience.
• Experience working in agile, cloud-based product development environments.
• Certification Microsoft Azure certifications (e.g., Solutions Architect, AI Engineer, Security Engineer). AWS certifications (e.g., Solutions Architect, Machine Learning, Security). Epic Systems certifications (e.g., Cogito, Clarity, Caboodle, Cognitive Computing). SAFe Agile or other related certifications.

MINIMUM QUALIFICATIONS

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field.
• Experience:
• 2+ years of experience in software engineering, data engineering, or a related field.
• 1+ years of experience designing and delivering machine learning/artificial intelligence (ML/AI) solutions in a production environment.
• 1+ years of experience developing ML/AI solutions within healthcare or life sciences.

Knowledge, Skills, and Abilities (Required)

• Knowledge of agile, cloud-based software development and AI engineering practices.
• Ability to design, develop, test, deploy, and optimize machine learning and artificial intelligence solutions.
• Experience applying advanced AI concepts including prompt engineering, retrieval augmented generation (RAG), fine-tuning, vector search, embeddings, and agentic architectures.
• Knowledge of healthcare interoperability standards, including HL7 and FHIR, and healthcare regulatory requirements such as HIPAA and GDPR.
• Ability to mentor junior technical staff and promote software engineering best practices.
• Knowledge of AI governance principles and enterprise AI measurement frameworks.
• Strong analytical, troubleshooting, and technical problem-solving skills.
• Strong verbal and written communication skills with the ability to communicate effectively with technical and non-technical stakeholders.
• Strong data visualization and reporting skills to communicate technical performance and business outcomes.
• Demonstrated commitment to continuous learning in artificial intelligence, machine learning, cloud computing, and DevOps/MLOps.