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Ai Jobs in Decatur, GA (NOW HIRING)

InfiCare

AI Engineer

Milton, GA · On-site

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode Of Hire: Contract Role Summary We are seeking an AI Engineer II to design and deliver responsible ...

Novelis

AI Governance Principal

Atlanta, GA

Position Overview Novelis is seeking a AI Governance Principal to own the operational governance gates for AI systems across the enterprise, ensuring AI solutions meet established quality ...

Posted today

JLL

Lead AI Engineer

Atlanta, GA

$98K - $129K/yr

Advising on best practices for AI agent development and enterprise AI integration processes * Experience in deploying AI models and agents in multiple environments (dev, staging, production)

Intellectt INC

Senior - AI Architect

Atlanta, GA · On-site

Agentic AI, AWS Bedrock, Python, LLM needed Key Responsibilities * Architect and implement agentic AI use cases using OpenAI's Agent SDK. * Lead architecture design for enterprise-scale AI systems ...

Kiongroup

AI Scientist

Atlanta, GA · On-site

$98K - $123K/yr

We are seeking an AI Scientist to join our Data Platform and AI team within Software Product Development. You will help design, build, and deploy intelligent solutions for intralogistics planning and ...

h2o.ai

Senior Sales Engineer, Healthcare

Atlanta, GA · On-site

$100K - $138K/yr

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...

Church's Chicken

Director, AI Enablement

Atlanta, GA · On-site

Director, AI Enablement Reports To : SVP, Chief Technology Officer Department: Technology and Digital Platforms Location: On-Site - Atlanta, GA Revised: May 2026 Job Summary: Leads AI enablement ...

Kiongroup

AI Scientist

Atlanta, GA · On-site

$98K - $123K/yr

We are seeking an AI Scientist to join our Data Platform and AI team within Software Product Development. You will help design, build, and deploy intelligent solutions for intralogistics planning and ...

Elevance Health

Distinguished AI Engineer

Atlanta, GA · On-site +1

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

Elevance Health

Distinguished AI Engineer

Atlanta, GA · On-site +1

Distinguished 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 productivity ...

AIG

AI Observability Engineer

Atlanta, GA · On-site

The AI Observability Engineer will play a critical role in ensuring AI solutions align with Responsible AI principles while supporting the design and execution of the AI Governance program.

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How much do ai jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for ai in Decatur, GA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $52.36 and $66.63 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Jobs in AI-related fields such as data science, machine learning engineering, AI research, cybersecurity, and healthcare are expected to persist as they require complex problem-solving, specialized knowledge, and human judgment. These roles often involve designing, managing, or overseeing AI systems, making them less susceptible to automation. Continuous learning and technical skills are essential for these professions to adapt to evolving AI technologies.

What is an AI job?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning engineers, often requiring advanced degrees, extensive experience, and expertise in programming, data analysis, and AI frameworks. These roles usually involve leadership, strategic planning, and innovation in AI development within large tech companies or specialized firms.

Is there an AI for that free?

AI-related jobs often involve developing or managing artificial intelligence tools, some of which are available for free or open-source. However, specialized AI software or platforms may require paid licenses or subscriptions, depending on the complexity and intended use. Job seekers should consider skills in programming, machine learning, and data analysis when pursuing AI roles.

Which AI is free to use?

Several AI tools are available for free, including OpenAI's ChatGPT (free tier), Google's Bard, and Microsoft's Azure AI services with free credits. These platforms often offer limited features or usage caps in their free versions, making them accessible for basic tasks and experimentation without cost.

What types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What jobs can you get in AI?

Jobs in AI include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often involving tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I access AI?

To access AI related to the job of AI, you can use various platforms and tools such as cloud-based AI services, programming libraries like TensorFlow or PyTorch, or AI development environments. Familiarity with coding, machine learning concepts, and relevant software is often required to effectively work with AI systems.

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

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

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Ai jobs near you

AI Engineer - LLM Development & Agentic AI

United Technology

Milton, GA • On-site

Other

Posted 9 days ago

Job description

Role Summary

We are seeking an AI Engineer II to design and deliver responsible, secure AI-powered tools that improve onboarding (“boarding”) and operational execution. This role focuses on implementing agentic AI patterns (multi-step workflows, tool-use, and human-in-the-loop approvals) and integrating them into production systems to reduce manual effort, increase consistency, and improve service outcomes.

Key Responsibilities

  • Build and enhance AI-assisted operational tools such as guided intake, knowledge-grounded Q&A, case/ticket summarization, and runbook execution support.
  • Implement agentic workflows with clear guardrails: input validation, policy-aware prompting, approval steps, fallbacks, and safe failure modes.
  • Integrate AI capabilities with internal services and data sources through approved APIs; collaborate with platform teams to onboard integrations.
  • Develop retrieval and grounding approaches (e.g., RAG) to ensure responses are based on approved knowledge sources with proper access controls.
  • Create and maintain automated evaluations (quality, groundedness, safety), plus telemetry for monitoring performance, cost, and reliability.
  • Contribute to code reviews, unit/integration tests, CI/CD, and operational readiness (documentation, alerts, runbooks).
  • Partner with operations SMEs, product owners, risk, and security to refine requirements and ensure compliant delivery.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 2+ years of software engineering experience building production services or applications.
  • Demonstrated experience implementing LLM-powered features (prompting, tool/function calling, RAG, agent/workflow orchestration).
  • Proficiency in at least one of: Python, Java, or TypeScript; ability to work with REST APIs and event-driven patterns.
  • Strong engineering fundamentals: data structures, debugging, testing, and secure coding practices.
  • Experience handling sensitive data responsibly and applying least-privilege access and secure SDLC practices.

Preferred Qualifications

  • Experience supporting operational workflows (service management, onboarding operations, incident/change processes).
  • Familiarity with search/retrieval systems, ranking, and content chunking/embedding strategies.
  • Experience with observability (logs/metrics/traces) and operational support for production services.
  • Knowledge of Responsible AI practices (privacy, bias, safety, transparency) and implementing human-in-the-loop controls.
  • Experience working in regulated environments (financial services a plus).

What Success Looks Like

  • Delivers 1–2 production-ready AI capabilities that measurably improve cycle time, quality, or operational throughput.
  • Establishes baseline evaluations and monitoring to prevent regressions and ensure safe operation.
  • Produces clear documentation and supports smooth handoff/operations readiness.

Compliance & Responsible AI Expectations

  • Adheres to Client Responsible AI Guidelines and AI usage compliance requirements.
  • Ensures appropriate handling of sensitive data (PII, client data, credentials) with auditability and access controls.
  • Uses only approved AI platforms and integration patterns; evaluates emerging interoperability standards only when permitted by policy.

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