Ai-Enhanced Technology Jobs in Atlanta, GA

30,258 open positions · Updated daily

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.

Employment Legal Counsel

Company: Intuitive

Location: Norcross, GA

Posted Feb 03, 2025

Manager, Flight Software Engineering

Company: Hermeus

Location: Atlanta, GA

Posted Feb 02, 2025

Hermeus, an aerospace and defense technology company, is seeking a Manager of Flight Software Engineering. The role involves overseeing the software engineering function for high-speed aircraft, leading the design, development, and integration of software systems for safe and efficient operation. The ideal candidate should have a Bachelors or Masters degree in Computer Engineering or a related field, with 8+ years of experience in embedded flight software development, including at least 2 years in a leadership or principal technical role. Preferred qualifications include experience in a startup environment, aerospace safety standards, avionics systems, and hypersonic or commercial space sectors. The company is committed to equal opportunity and non-discrimination.

Pharmacy Technician

Company: CVS Health

Location: Savannah, GA

Posted Feb 03, 2025

Oracle Functional EPM Consultant

Company: Deloitte

Location: Atlanta, GA

Posted Feb 03, 2025

IT Support Analyst

Company: Cennox

Location: Atlanta, GA

Posted Feb 02, 2025

The IT Support Analyst role involves providing technical support to end users, resolving service tickets, and maintaining accurate records. Key responsibilities include root cause analysis, hardware and software configuration, asset management, and systems administration. The role requires strong IT knowledge, excellent communication skills, and the ability to learn new technologies. A Bachelor's degree in IT and 2+ years of help desk experience are required. Physical requirements include the ability to sit for long periods and use a computer.

Digital Experience Designer

Company: CVS Health

Location: Atlanta, GA

Posted Feb 03, 2025

Lead Application Security Engineer

Company:

Location: Norcross, 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.

Related Pages