Ai-Enhanced Technology Jobs in Atlanta, GA

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Looking for Ai-Enhanced Technology jobs in Atlanta, GA? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the Atlanta, GA area.

Senior Director, Critical Facilities Engineering

Company: Cox Enterprises

Location: Atlanta, GA

Posted Feb 03, 2025

The job description outlines a high-level role responsible for managing Cox's critical infrastructure facilities, ensuring maximum uptime of IT assets, and leading a diverse, world-class data center operations team. The role involves creating a culture of ownership, innovation, collaboration, accountability, and safety, and developing robust processes for efficiency and operational excellence. The candidate must have strong leadership, negotiation, problem-solving, and team-building skills, with experience in data center infrastructure, project management, and change management. The role requires strategic thinking, tactical execution, and the ability to communicate effectively at all levels, including during crises. The compensation includes a base salary of $159,400 to $265,600, with potential for additional incentives. Cox offers comprehensive benefits and is an Equal Employment Opportunity employer.

RN - Home Health

Company:

Location: Augusta, GA

Posted Feb 03, 2025

RN - Home Health

Company:

Location: Savannah, GA

Posted Feb 03, 2025

Sales Contract Coordinator

Company: Salesforce

Location: Atlanta, GA

Posted Feb 03, 2025

Pharmacy Manager

Company: CVS Health

Location: Morrow, GA

Posted Feb 03, 2025

Store Associate

Company: CVS Health

Location: Buford, GA

Posted Feb 03, 2025

Sr Manager, Software Engineering

Company:

Location: Roswell, GA

Posted Feb 03, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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