Ai-Enhanced Technology Jobs in Atlanta, GA

30,259 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.

SFCC B2B Architect

Company: Accenture

Location: Atlanta, GA

Posted Jan 23, 2025

Workday HCM and Compensation - Higher Ed

Company: Accenture

Location: Atlanta, GA

Posted Jan 23, 2025

Accenture is seeking a Workday HCM/Compensation Lead for their Higher Education Team. The role involves designing and optimizing cloud-based data-reporting operations, focusing on finance, analytics, planning, and HR. The successful candidate will architect Workday HCM solutions, provide subject matter expertise, and advise clients on industry standards. They will also manage client relationships, resolve functional issues, and ensure the client leverages Workday best practices. Accenture offers opportunities for professional growth, including training and expanding expertise in additional functional areas.

Senior BSA-Services and Finance

Company: Intapp

Location: Atlanta, GA

Posted Jan 23, 2025

Software Engineering Senior Analyst

Company: Accenture

Location: Atlanta, GA

Posted Jan 23, 2025

Accenture is seeking a passionate Java engineer with at least 2 years of development/architecture experience and 1 year of Java enterprise application development experience. The ideal candidate should have experience with Spring or Spring Boot and be familiar with DevOps and Agile engineering practices. Accenture, a leading systems integrator, offers opportunities to work with the world's largest companies and government agencies, contributing to the Open Source community. The company is committed to employee development and has been recognized as one of Fortune's 100 Best Companies To Work For for 10 consecutive years.

Treasury Senior Analyst

Company: Accenture

Location: Atlanta, GA

Posted Jan 23, 2025

Accenture, a global professional services company, is seeking a Finance professional for a role in Chicago. The job involves managing treasury, global banking, and liquidity management activities. Key responsibilities include optimizing cash assets, executing and reporting on treasury transactions, and mitigating financial risks. The ideal candidate should have a Bachelor's degree, at least 2 years of finance experience, and strong skills in decision-making, organization, problem-solving, and communication. Proficiency in Microsoft Office, Treasury, and SAP is preferred.

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