ZipRecruiter

Log In

1

Artificial Intelligence Engineer Jobs in Athens, GA

Landmark Properties

Microsoft Fabric Data Engineer

Athens, GA · On-site

$110K - $132K/yr

Stay current with emerging trends and technologies in data engineering, analytics, Microsoft Fabric, Power BI, and artificial intelligence. Education & Experience * Bachelor's degree in Computer ...

Varsity Tutors

Robotics Tutor

Athens, GA · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Varsity Tutors

College Computer Science Tutor

Athens, GA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Munich Re

Sr. Solution Architect

Athens, GA

... Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role is ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

University of Georgia

Open-Rank Academic

Athens, GA · On-site

... Engineering, College of Family and Consumer Sciences, Mary Frances Early College of Education, School of Law, the Owens Institute for Behavioral Research, the Institute for Artificial Intelligence ...

All JobsArtificial Intelligence Engineer JobsArtificial Intelligence Engineer Jobs in Athens, GA

Artificial Intelligence Engineer information

See Athens, GA salary details

$42.5K

$102.7K

$167.5K

How much do artificial intelligence engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for artificial intelligence engineer in Athens, GA is $102,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $127,900.00 per year, depending on experience, location, and employer.

What does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

Is an artificial intelligence engineer still in demand?

Artificial intelligence engineers are currently in high demand due to the rapid growth of AI applications across industries such as technology, healthcare, and finance. The role requires skills in machine learning, deep learning, and programming languages like Python, with many organizations actively hiring to develop AI solutions.

What is an artificial intelligence engineer's salary?

The salary of an artificial intelligence engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What jobs do artificial intelligence engineers do?

Artificial intelligence engineers develop, implement, and optimize AI models and algorithms for applications such as machine learning, natural language processing, and computer vision. They work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and often collaborate with data scientists and software developers to create intelligent systems. Their responsibilities include data preprocessing, model training, testing, and deployment in various industries including tech, healthcare, and finance.

What job categories do people searching Artificial Intelligence Engineer jobs in Athens, GA look for?

The top searched job categories for Artificial Intelligence Engineer jobs in Athens, GA are:

What cities near Athens, GA are hiring for Artificial Intelligence Engineer jobs?

Cities near Athens, GA with the most Artificial Intelligence Engineer job openings:

Artificial Intelligence Engineer jobs near you
Infographic showing various Artificial Intelligence Engineer job openings in Athens, GA as of August 2026, with employment types broken down into 72% Full Time, 15% Part Time, and 13% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $102,725 per year, or $49.4 per hour.

Microsoft Fabric Data Engineer

Athens, GA • On-site

Landmark Properties
See more jobs at Landmark Propertiesexternal

$110K - $132K/yr

Full-time

Posted 17 days ago

Job description

Job Description
Data Engineer / Fabric Administrator
The primary role of the Data Engineer / Fabric Administrator is to design, develop, and maintain modern data solutions within Microsoft Fabric, supporting the organization's analytics, reporting, automation, and AI initiatives. This position is responsible for building secure and scalable data pipelines, managing data throughout the medallion architecture, developing semantic models and Power BI reporting solutions, and ensuring data is governed and protected throughout its lifecycle. The ideal candidate will possess strong technical expertise in data engineering, analytics, and Microsoft Fabric technologies, along with excellent problem-solving, communication, and collaboration skills. The successful candidate will demonstrate a security-first mindset and the ability to work independently in a rapidly evolving environment.
Reports to: Senior Director of Data Management and Security
Direct Reports: None
Duties/Responsibilities: The duties listed below are an outline of role's responsibilities and should not be considered an all-inclusive list. As the needs of the organization change, these duties may be modified as needed.
  • Develop, maintain, and optimize data solutions within Microsoft Fabric, including data ingestion, transformation, modeling, and reporting.
  • Design and support data pipelines aligned with the medallion architecture, including Bronze, Silver, and Gold data layers.
  • Build and maintain Lakehouses, Warehouses, Dataflows, Data Factory pipelines, Notebooks, and other Fabric components.
  • Create and maintain Power BI dashboards, reports, semantic models, and visualizations that support business decision-making.
  • Partner with business stakeholders to gather requirements, understand reporting needs, and translate business questions into actionable analytics solutions.
  • Develop secure and reliable data models that support role-based access controls, governance requirements, and data classification standards.
  • Apply security-first development principles, including least-privilege access, secure coding practices, data protection controls, and appropriate handling of sensitive information.
  • Collaborate with Information Technology, Security, Compliance, and business teams to ensure data solutions align with organizational standards and objectives.
  • Support testing, validation, deployment, monitoring, troubleshooting, documentation, and continuous improvement of data pipelines and reporting assets.
  • Develop and maintain reusable frameworks, development standards, and engineering best practices within the Microsoft Fabric platform.
  • Utilize automation and AI-assisted development tools responsibly to improve productivity while maintaining security, code quality, and platform reliability.
  • Evaluate new technologies and recommend enhancements that improve data accessibility, reporting capabilities, automation, and analytics maturity.
  • Ensure solutions adhere to security, compliance, and data governance standards.
  • Stay current with emerging trends and technologies in data engineering, analytics, Microsoft Fabric, Power BI, and artificial intelligence.

Education & Experience
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, Software Engineering, or a related field.
  • At least 3 years of hands-on experience in data engineering, business intelligence, analytics development, or a related technical role.
  • Experience developing solutions within Microsoft Fabric, Microsoft Power Platform, Power BI, SQL-based environments, or similar enterprise analytics platforms.
  • Experience designing and supporting data pipelines, data models, and reporting solutions.

Preferred Knowledge, Skills, & Abilities.
  • Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, and related Fabric services.
  • Strong understanding of medallion architecture and data lifecycle management.
  • Experience developing Power BI reports, dashboards, semantic models, and DAX calculations.
  • Proficiency with SQL and data transformation concepts.
  • Experience working with structured and semi-structured data from multiple business systems.
  • Familiarity with Python, PySpark, Spark notebooks, or related data engineering technologies.
  • Understanding of data governance, data lineage, metadata management, and data quality processes.
  • Knowledge of Microsoft Purview, data classification, sensitivity labeling, and data loss prevention concepts.
  • Familiarity with GitHub, source control, CI/CD methodologies, and DevOps practices.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate technical concepts effectively to non-technical stakeholders.
  • Strong organizational skills and ability to manage multiple priorities.
  • Ability to work independently and collaboratively across departments.
  • Commitment to secure development practices and protecting company data.

Work Environment
  • The work environment characteristics described herein are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
  • Travel: May require travel to sites as needed, around 10%

Physical Demands:
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl and talk or hear.
  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
  • The employee may infrequently drive a vehicle (intrastate and interstate travel) or be subject to air travel for purposes of Company business.

#LI-LF1
Landmark Properties is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply