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Python Ai Jobs in Georgia (NOW HIRING)

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

$98K - $129K/yr

Demonstrated proficiency with Python development and AI/ML libraries * Demonstrated proficiency in JavaScript/TypeScript for AI frontend integration * Ability to perform AI model performance tuning ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation. * Deep experience ...

Python Engineers Core Python development for backend services, APIs, or data-driven applications ... Demonstrated use of AI-assisted coding tools (GitHub Copilot, ChatGPT, etc.) * Strong problem ...

Python Tutor

Duluth, GA · Remote

$40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Python Ai information

See Georgia salary details

$11

$49

$72

How much do python ai jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python ai in Georgia is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $56.20 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For a Python AI developer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist, such as AI research scientist, data scientist, and machine learning engineer. These jobs involve designing, interpreting, and improving AI systems, often requiring specialized knowledge, critical thinking, and domain expertise that are difficult for AI to fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. Such roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What is a Python AI job?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

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

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Python coders are still essential for designing, developing, and maintaining complex software systems. AI may augment programming work, but human expertise remains critical for problem-solving, creativity, and understanding project requirements.

What are the typical daily responsibilities of a Python AI professional?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

Can you do AI with Python?

Python AI refers to developing artificial intelligence applications using the Python programming language, which is widely used in the field due to its simplicity and extensive libraries like TensorFlow, PyTorch, and scikit-learn. AI development with Python involves tasks such as machine learning, deep learning, and data analysis, often requiring knowledge of algorithms, data structures, and programming skills. Many AI roles for Python developers focus on model building, data processing, and deploying AI solutions in various industries.
What are the most commonly searched types of Python Ai jobs in Georgia? The most popular types of Python Ai jobs in Georgia are:
What job categories do people searching Python Ai jobs in Georgia look for? The top searched job categories for Python Ai jobs in Georgia are:
Infographic showing various Python Ai job openings in Georgia as of June 2026, with employment types broken down into 42% Full Time, 29% Part Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,958 per year, or $49.5 per hour.
Python AI Solution Architect

Python AI Solution Architect

Inficare Technologies

Atlanta, GA • On-site

Full-time

Posted 16 days ago


Job description

Job title : Python AI Solution Architect
Location: Atlanta, GA
Client: Retail client
Role Summary
We are seeking a Python-focused AI Solution Architect to design, build, and deliver enterprise-grade AI/GenAI solutions on GCP. This role owns end-to-end AI architecture and works closely with product, engineering, and business teams to deploy scalable, responsible AI solutions.
Key Responsibilities
  • Lead end-to-end AI solution architecture from concept to production
  • Develop and deploy Python-based AI/ML and GenAI solutions using PyTorch, TensorFlow, Scikit-learn, and GenAI frameworks
  • Design and implement GenAI solutions on GCP using Gemini (RAG, embeddings, agents, prompt engineering)
  • Build Python APIs and services for AI inference and orchestration
  • Integrate AI capabilities with Oracle (Fusion, ERP) and Salesforce (Sales/Service/Data Cloud, APIs)
  • Define scalable architectures covering data ingestion, model inference, security, and observability
  • Ensure Responsible AI practices including governance, privacy, explainability, and access control
  • Support POCs, pilots, and production deployments, including performance and cost optimization
  • Collaborate in Agile teams using JIRA and Confluence and provide technical leadership as needed
Required Skills & Experience
  • 8+ years overall experience with 3-5+ years in AI/ML or GenAI architecture
  • Strong, hands-on Python expertise building production-grade AI systems
  • Proven experience architecting AI solutions on Google Cloud Platform
  • Hands-on experience with Gemini models and GenAI workflows (RAG, agents, embeddings)
  • Strong integration experience with Oracle and Salesforce platforms
  • Ability to work independently and make architectural decisions in ambiguous environments
Technical Skills
  • Python (advanced), AI/ML frameworks, and GenAI tooling
  • GCP: Vertex AI, BigQuery, Cloud Functions/Run, IAM, monitoring
  • GenAI patterns: RAG, vector stores, orchestration, grounding
  • API-driven integrations and enterprise AI security/governance