Ai-Enhanced Technology Jobs in Remote

245,720 open positions · Updated daily

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

Senior Staff Python Automation Engineer

Company: Equinix, Inc

Location: Bogota, Colombia / Remote

Posted Feb 03, 2025

View Details Apply on The Muse
Digital Product Engineering company 18000+ experts across 36 countries 46 years hands-on experience

Associate Staff Engineer (CRM Dynamics)

Company: Nagarro

Location: Remote

Posted Feb 03, 2025

Nagarro is a global Digital Product Engineering company with over 18,000 experts across 36 countries. They are seeking an experienced IT professional with 46 years of hands-on experience in Canvas, Model-Driven apps, and Power Platform environments. The ideal candidate should have a strong understanding of Microsoft .NET framework, C, Power Apps, Power Platform, O365, and related Azure technologies. They should also have knowledge of security processes, industry best practices in the Dynamics 365 domain, and experience with Agile software delivery methodologies. The role requires excellent communication skills, the ability to collaborate effectively, and personal ownership of meeting deadlines.

View Details Apply on BuiltIn

Lead, Network Services

Company: Kyndryl

Location: Budapest, Hungary / Remote

Posted Feb 03, 2025

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Consult Enablement Leader

Company: Kyndryl

Location: Dubai, United Arab Emirates / Remote

Posted Feb 03, 2025

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Senior DevOps / DocOps Engineer (f/m)

Company: Ansys

Location: Lille, France / Remote

Posted Feb 03, 2025

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Enterprise Account Executive

Company: Pluralsight

Location: Remote

Posted Feb 03, 2025

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Principal Product Success Manager

Company: ServiceNow

Location: London, United Kingdom / Remote

Posted Feb 03, 2025

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Sr. Project Manager - Legal (Remote)

Company: CrowdStrike

Location: Remote

Posted Feb 03, 2025

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Network support L3-Aruba Wireless

Company: Kyndryl

Location: Alajuela, Costa Rica / Remote

Posted Feb 03, 2025

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Strategy Director

Company: Celonis

Location: Remote

Posted Feb 03, 2025

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Account Executive

Company: Sonatype

Location: Remote

Posted Feb 03, 2025

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Contract Recruiter, EMEA Sales (6 months)

Company: GitLab

Location: Remote

Posted Feb 03, 2025

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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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