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Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Atlanta, GA · On-site
Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Atlanta, GA · On-site
Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Atlanta, GA · On-site
Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Atlanta, GA · On-site
Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Atlanta, GA · On-site
Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...
AI Engineer
Charlotte, NC · On-site
$50K - $60K/yr
Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional ...
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AI Engineer
Charlotte, NC · On-site
$50K - $60K/yr
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Irving, TX · On-site
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AI Engineer
Irving, TX · On-site
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Miami, FL · On-site
$65/hr
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Miami, FL · On-site
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Dallas, TX · On-site
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Long Beach, CA · On-site
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Long Beach, CA · On-site
$115K - $120K/yr
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San Francisco, CA · On-site
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San Francisco, CA · On-site
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Sunrise, FL · On-site
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Sunrise, FL · On-site
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Pasadena, CA · On-site
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Pasadena, CA · On-site
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San Mateo, CA · On-site
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San Mateo, CA · On-site
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San Diego, CA · On-site
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San Diego, CA · On-site
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Pasadena, CA · On-site
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Pasadena, CA · On-site
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Salt Lake City, UT · On-site
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Salt Lake City, UT · On-site
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Denver, CO · On-site
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Denver, CO · On-site
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OH · On-site
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Quick apply
Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...
Quick apply
Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...
Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...
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Nashville, TN · On-site
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AI Engineer
Nashville, TN · On-site
AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier professionals with exceptional ...
Ai Enginner information
See salary details
$59.5K - $72.5K
14% of jobs
$80.3K is the 25th percentile. Wages below this are outliers.
$72.5K - $85.6K
19% of jobs
$85.6K - $98.6K
12% of jobs
The median wage is $103.1K / yr.
$98.6K - $111.7K
17% of jobs
$111.7K - $124.7K
12% of jobs
$127K is the 75th percentile. Wages above this are outliers.
$124.7K - $137.8K
14% of jobs
$137.8K - $150.8K
7% of jobs
$150.8K - $163.9K
3% of jobs
$163.9K - $176.9K
0% of jobs
$176.9K - $190K
1% of jobs
$190K - $203K
2% of jobs
$59.5K
$111.6K
$203K
How much do ai enginner jobs pay per year?
As of Sep 11, 2026, the average yearly pay for ai enginner in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Ai Enginner jobs?
Cities with the most Ai Enginner job openings:
What states have the most Ai Enginner jobs?
States with the most job openings for Ai Enginner jobs include:
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For Ai Enginner jobs, the most frequently searched job titles are:
AI Engineer
Atlanta, GA • On-site
Emory Healthcare
• Hospitals • 10K+ employees10,000+ employees
Full-time
This job post has expired 2 days ago. Applications are no longer accepted.
Emory Healthcare rating
7.7
Based on 220 frontline employees who took The Breakroom Quiz
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 mentorship and 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:
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:
Technical Collaboration and Solution Delivery:
Technical Leadership and Mentorship:
PREFERRED QUALIFICATIONS:
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):
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and 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.
What Emory Healthcare employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Emory Health
Sourced by ZipRecruiter
Industry
Hospitals
Company size
10,000+ Employees
Headquarters location
NE Atlanta, GA, US
Year founded
1905