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.

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Channel Sales Executive - Video Security & Access Control (Atlanta)

Company: Motorola Solutions

Location: Atlanta, GA

Posted Feb 03, 2025

Motorola Solutions is seeking a Channel Sales Executive for Video to develop new business, meet revenue goals, and promote Avigilon products. The role involves creating and managing a sales funnel, conducting sales calls, and working with vertical marketing teams. The ideal candidate has 4+ years of video security solutions sales experience, strong technical acumen, and the ability to forecast revenue. Travel up to 50% of the time is required, with a preferred location in Greater Atlanta, Georgia. The target base salary range is $50,700 - $110,400 USD.

View Details Apply on BuiltIn

Sr Software Engineer - ServiceNow

Company:

Location: Buckhead, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Lead Cybersecurity Software Engineer

Company:

Location: Norcross, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Lead Software Engineer - ServiceNow

Company:

Location: Norcross, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Lead Cloud Database Architect (MSSQL Focus) (RapidScale)

Company:

Location: Morrow, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Registered Nurse (RN) - Clinical Team Leader - Home Health

Company:

Location: Savannah, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Conversational AI Developer (Sr. Software Engineer)

Company:

Location: Atlanta, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Conversational AI Developer (Sr. Software Engineer)

Company:

Location: Decatur, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Lead Software Engineer - ServiceNow

Company:

Location: Lithia Springs, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Lead Cloud Architect - AWS (RapidScale)

Company:

Location: Decatur, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Data Scientist

Company:

Location: Norcross, GA

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Data Scientist

Company:

Location: Morrow, GA

Posted Feb 03, 2025

View Details Apply on The Muse

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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