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Senior Ai Developer Jobs in Georgia (NOW HIRING)

Nasdaq

Senior AI Application Engineer (.NET)

Atlanta, GA · On-site

$117K - $155K/yr

We're looking for a Senior AI Engineer with a .NET backgound to design and deliver secure, scalable applications that bring modern AI into enterprise environments. In this role, you'll apply ...

Humana

Senior AI Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

Humana

Senior AI Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

Humana

Senior AI Software Engineer

Atlanta, GA

$117K - $155K/yr

The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and ...

AVEVA Group

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

Aveva

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

TekCommands Inc

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities. * Design and manage relational (PostgreSQL) and ...

US Bank

Senior AI Platform Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment. This role requires ...

Rivian

Sr. AI Engineer, Enterprise Applied AI

Riverdale, GA · On-site

$162K - $203K/yr

As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to ... For Senior level: demonstrated ownership of services or platform components, end-to-end delivery of ...

Rivian

Sr. AI Engineer, Enterprise Applied AI

Riverdale, GA · On-site

$162K - $203K/yr

As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to ... For Senior level: demonstrated ownership of services or platform components, end-to-end delivery of ...

Rivian

Sr. AI Engineer, Enterprise Applied AI

Atlanta, GA · On-site

$162K - $203K/yr

As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to ... For Senior level: demonstrated ownership of services or platform components, end-to-end delivery of ...

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Senior Ai Developer information

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

What are the most commonly searched types of Ai Developer jobs in Georgia?

The most popular types of Ai Developer jobs in Georgia are:

What are popular job titles related to Senior Ai Developer jobs in Georgia?

For Senior Ai Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Ai Developer jobs in Georgia look for?

The top searched job categories for Senior Ai Developer jobs in Georgia are:

What cities in Georgia are hiring for Senior Ai Developer jobs?

Cities in Georgia with the most Senior Ai Developer job openings:

Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior AI Engineer - LLM & Agentic Systems (Python)

RIT Solutions, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python and modern LLM frameworks.
Responsibilities:
• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Qualifications:
Required:
• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
• Proven experience with RAG architectures, embeddings, and vector databases
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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