Ai-Enhanced Technology Jobs in Remote

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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.

Manager, Digital Success

Company: GitLab

Location: Remote

Posted Jan 25, 2025

Adobe Program Manager (on site)

Company: Blue Acorn iCi

Location: Remote

Posted Jan 25, 2025

Blue Acorn iCi, an Infosys company, is seeking a detail-oriented Program Manager with Adobe application experience for an on-site role in Overland Park KS, Bellevue WA, or Atlanta GA. The ideal candidate will manage project schedules, financials, and success, ensuring high client satisfaction. Responsibilities include managing day-to-day communications, facilitating status meetings, controlling quality, managing risks, and ensuring project gross margin and client budget management.

AI Solution Architect

Company: Hitachi Energy

Location: Warsaw, Poland / Remote

Posted Jan 25, 2025

VP, Business Development (Healthcare)

Company: Bounteous

Location: Remote

Posted Jan 25, 2025

Bounteous, a leading digital transformation consultancy, is seeking a Vice President of Business Development for its Healthcare vertical. The role involves driving growth, positioning Bounteous as a strategic partner, and leveraging expertise in technology-driven digital transformation. The ideal candidate will have extensive experience in closing strategic deals, developing relationships with executive-level IT leaders in the US healthcare industry, and understanding the healthcare ecosystem's challenges and trends. The role requires strong presentation, negotiation, and written communication skills, as well as the ability to inspire and influence executive-level leadership.

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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