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Senior Python Ai Jobs in Georgia (NOW HIRING)

47Billion

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Experience: 8+ Years Key Responsibilities · Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. · Develop REST APIs and scalable enterprise solutions. · Build AI ...

KPMG

Sr. Engineer - AI

Atlanta, GA · On-site

$117K - $155K/yr

Build and maintain client-facing web apps in Angular + TypeScript, Python or .NET Framework/C# ... Mentor junior engineers on AI principles, code reviews, and system design * Act with integrity ...

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Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Python * 3 years of experience with relational and nonrelational databases such as SQL Server ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

We are seeking a motivated Senior AI Engineer to design, implement, and deploy cutting-edge AI ... Strong proficiency in Python for AI/ML development * LLM Fundamentals: Understanding of large ...

Deposco

Senior Data Scientist - AI Focus

Alpharetta, GA · On-site

Deposco is seeking a Senior Data Scientist to join our Data Science team, focused on R&D innovation ... Expert-level programming skills in Python (experience with AI frameworks and agent architectures a ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Proficiency in Python or another programming language commonly used in AI/ML * Familiarity with ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Proficiency in Python or another programming language commonly used in AI/ML * Familiarity with ...

Acuity Brands

Senior Software Engineer - AI/ML

Conyers, GA · On-site +1

$97K - $128K/yr

... Senior will focus on AI/SDLC and Python, and influence technical direction through strong ... Strong technical leadership * 8 years of experience in Advanced Python engineering (maintainable ...

Acuity, Inc.

Senior Software Engineer - AI/ML

Conyers, GA · On-site

$97K - $128K/yr

... Senior will focus on AI/SDLC and Python, and influence technical direction through strong ... Strong technical leadership * 8 years of experience in Advanced Python engineering (maintainable ...

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Senior Python Ai information

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
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 are popular job titles related to Senior Python Ai jobs in Georgia? For Senior Python Ai jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Python Ai jobs in Georgia look for? The top searched job categories for Senior Python Ai jobs in Georgia are:
What cities in Georgia are hiring for Senior Python Ai jobs? Cities in Georgia with the most Senior Python Ai job openings:
Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior Principal Software Engineer - AI Governance

OneTrust

Atlanta, GA • On-site

$120K - $166K/yr

Other

Posted 7 days ago

Job description

The Challenge 

As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust's AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities. 

Your Mission  

Development   

  • Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust's AI Governance product.
  • Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
  • Build features with RAG, agent workflows, and model orchestration.
  • Own technical design for critical systems, ensuring scalability, security, and reliability.
  • Maintain strong automated unit/integration test coverage and engineering standards. Achieve at least 80% code coverage or per the revised standards set by the team 

Collaboration    

  • Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessionsand drive team's discussions on system architecture and component design.  
  • Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
  • Lead architecture discussions and technical planning.
  • Drive alignment across teams on platform design and priorities.
  • Contribute to sprint planning and delivery. 

Support    

  • Reduce defects by identifying and addressing issues early in the development lifecycle.
  • Ensure critical and high priority CII's are delivered per SLA.  
  • Promote early defect detection through strong design and testing.
  • Improve system monitoring, resilience, and operational maturity. 

Code Review  

  • Set standards for clean, secure, and maintainable code.
  • Conduct thorough reviews for distributed and AI-enabled systems.
  • Guide engineers on testing, automation, and AI system validation.

Lead  

  • Help build high-performing teams by mentoring the team on new technical skills. 
  • Influence technical strategy and long-term platform direction.
  • Build a culture of ownership, learning, and engineering excellence. 
You Are  

A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions. 

Your Experience Includes   
  • Bachelor's or master's degree in computer science, Engineering, or related technical or business field. 
  • 12+ years of professional software engineering/development experience  
  • Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems
  • Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.  
  • Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
  • Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc. 
  • Experience with elastic search and data streaming tools like Kafka.  
  • Good understanding of web services and SOA related standards like REST/OAuth/JSON.  
  • Moderate understanding of code and script (Python, Bash)  
  • Good experience with SQL and NoSQL databases 
  • Agile development (Scrum, XP, or Pair Programming) experience  
  • Ability to use a wide variety of open-source technologies and cloud services.  
  • Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)  

Extra Awesome  

  • Experience with different databases (Relational and document) is a strong asset. 
  • Familiarity with continuous integration and continuous deployment (CI/CD) tools.  
  • Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
  • Background in enterprise, regulated, or security-focused environments. 

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