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Ai Engineer Jobs (NOW HIRING)

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

Description The AI Engineer is responsible for designing, developing, implementing, and supporting enterprise artificial intelligence (AI) and machine learning (ML) solutions that advance clinical ...

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 ...

AI Engineer **Job Role:** AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) ** ** We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered ...

AI Engineer

Miami, FL · On-site

$65/hr

Senior AI Engineer (Agentic AI) Miami, FL On-Site role. Compensation: $65 ABOUT THE ROLE Our client is seeking a Senior AI Engineer specializing in Agentic AI to join their Enterprise Data & AI ...

AI Engineer Start date* 10-Aug-26 End date* 09-Nov-26 Number of Positions* 1 * Need strong hands-on prompt engineer with extensive background in building and running multiple AI agents. They need to ...

AI Engineer

Long Beach, CA · On-site

$115K - $120K/yr

About Ascendion Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America ...

AI Engineer Location: Sunrise, FL Job Type: Contract (Long Term) Experience: 5+ years Skills - JavaScript, TypeScript, AI, React / React JS Job Overview Our client is building the internal developer ...

East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will ...

About P-1 AI At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie's anthropomorphism so that he fits seamlessly into existing engineering teams and ...

The AI engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the ...

East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Seeking an AI Engineer to build and integrate AI solutions. Key Requirements: * AI/ML development * Python and AI frameworks * LLM integration and prompting * APIs and pipelines * Collaboration ...

OH · On-site

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 ...

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 ...

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier professionals with exceptional ...

Showing results 21-40

Ai Engineer information

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$39K

$101.8K

$137.5K

How much do ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.
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Infographic showing various Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 7% Internship, 53% Full Time, and 40% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

Atlanta, GA • On-site

Emory Healthcare
Hospitals • 10K+ employees

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

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:
  • 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.

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