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Ai Engineer Developer Jobs in Georgia (NOW HIRING)

Principal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They ...

AI Engineer - Operations

Alpharetta, GA · On-site

$67K - $91K/yr

We are looking to add our second AI Engineer to our Platform and Innovation R&D team to lead how we apply AI internally across Deposco. This is a unique opportunity to shape and embed the use of LLMs ...

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice. Responsibilities: * End-to-end design and development of AI/ML solutions, leveraging cloud AI services ...

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice. Responsibilities: * End-to-end design and development of AI/ML solutions, leveraging cloud AI services ...

Engineering, but brighter. About the Role As a Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration of Workday's next ...

New

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD ... AI Infrastructure and Operations (NCA-AIIO) or higher NVIDIA certifications. * HPE, Dell ...

Lead AI Engineer

Atlanta, GA

$98K - $129K/yr

As a Lead AI Engineer at Honeywell, you will be at the forefront of driving innovation and leading the development and implementation of cutting-edge AI solutions. You will play a pivotal role in ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Lead AI Engineer

Atlanta, GA · On-site

$98K - $129K/yr

As a Lead AI Engineer at Honeywell, you will be at the forefront of driving innovation and leading the development and implementation of cutting-edge AI solutions. You will play a pivotal role in ...

Agentic AI Engineer (Python) Location : Atlanta, GA - Onsite Duration : Long Term We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous ...

Lead AI Engineer

Atlanta, GA · On-site

$98K - $129K/yr

As a Lead AI Engineer at Honeywell, you will be at the forefront of driving innovation and leading the development and implementation of cutting-edge AI solutions. You will play a pivotal role in ...

ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and ...

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data ...

ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and ...

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Showing results 1-20

Ai Engineer Developer information

What is a 900000 AI job?

A $900,000 AI engineer developer role typically refers to a high-level position with a total compensation package that includes salary, bonuses, and stock options. Such roles are usually found in leading tech companies or startups and require advanced skills in machine learning, deep learning, and programming languages like Python or TensorFlow. These positions often demand extensive experience and a strong track record of AI project development.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

What engineer makes 500,000 a year?

Senior AI engineers or machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and maintain AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists are also expected to remain in demand due to the need for data management and protecting AI infrastructure. These roles involve complex problem-solving and adaptability that AI is less likely to fully automate soon.
What are popular job titles related to Ai Engineer Developer jobs in Georgia? For Ai Engineer Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Georgia look for? The top searched job categories for Ai Engineer Developer jobs in Georgia are:
Principal AI Engineer

Principal AI Engineer

Manhattan Associates

Atlanta, GA • On-site

Full-time

Posted 19 days ago


Job description

We create possibilities that move life and commerce forward
Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place.
Principal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.
MINIMUM REQUIREMENTS -
  • 7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.
  • 3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.
  • Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace
  • Deep knowledge of:
    • Machine Learning (classification, regression, clustering, recommendation systems)
    • Deep Learning (CNNs, RNNs, Transformers, GANs)
    • Natural Language Processing (BERT, GPT, LLM fine-tuning)
    • Computer Vision (YOLO, ResNet, object tracking, OCR)
  • Expertise in:
    • Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
    • Data engineering and pipeline development (Airflow, Spark, ETL systems)
    • MLOps, model lifecycle management, and production-grade deployment
    • Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)
  • Track record of scaling ML models from experimentation to production across teams or business units.
  • Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.
  • Demonstrated ability to set research and development direction based on business needs.
  • Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments
  • 3+ years experience interfacing and partnering with vendors
  • 3+ years experience assisting in strategy/roadmap and planning
  • Strong communication skills and ability to communicate at all levels of the organization (technical and business)
  • 2+ years experience leading/mentoring more junior staff members
  • Highly self-motivated, directed, ability to work independently and be results-driven
  • 5+ years experience with SharePoint for document management and sharing
  • 5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)
  • 3+ years experience in agile/waterfall software delivery methodologies
  • 3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar
  • 5+ years experience working with small, geographically distributed teams
  • 5+ years experience working both independently and in a team oriented, collaborative environment
  • Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs

EDUCATION REQUIREMENTS -
  • Bachelor's degree or foreign equivalent in computer science, engineering or related field or equivalent work experience

Principal Duties and Responsibilities -
  • AI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.
  • Model Development: Lead development of machine learning, deep learning, and generative AI models for production environments.
  • Technical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.
  • Research & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.
  • Production Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.
  • Cross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions
  • Responsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.
  • Performance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.

ADDITIONAL CHARACTERISTICS -
  • Independently performs assignments to achieve stated objective. Determines and develops approach to solutions
  • Receives technical guidance only on unusual or complex problems or issues
  • May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact
  • Uses judgment and discretion to determine work priorities, receiving little instruction from others

#LI-JM1
Committed to diversity and inclusion
At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique.
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.