Ai-Enhanced Technology Jobs

787,119 open positions · Updated daily

AI-Enhanced Technology roles are at the forefront of digital transformation, fueling autonomous vehicles, personalized medicine, and real‑time analytics. Demand surges as enterprises adopt generative AI, multimodal models, and AI‑driven edge solutions to reduce latency and boost customer experience. The convergence of cloud-native infrastructure, container orchestration, and AI frameworks creates new opportunities for engineers and data scientists to build scalable, high‑performance systems that deliver measurable ROI within weeks of deployment.

Within the AI‑Enhanced Tech spectrum, you’ll find roles such as Machine Learning Engineer, Data Scientist, MLOps Engineer, AI Product Manager, Edge AI Developer, and AI Solutions Architect. Responsibilities range from designing and training transformer models in TensorFlow or PyTorch, to building reproducible pipelines with Airflow and MLflow, to deploying models into Kubernetes clusters on AWS SageMaker or Azure ML. Edge AI developers optimize inference on NVIDIA Jetson or Qualcomm AI SDKs, while AI product managers translate business goals into AI feature roadmaps and measure impact through A/B testing.

Salary transparency matters more than ever in AI‑Enhanced Tech. With compensation tied to market demand, equity, and specialized skill sets, clear salary ranges help professionals negotiate fair pay, evaluate opportunities across companies, and understand the true value of their expertise. Transparent data also drives diversity by reducing hidden pay gaps and empowers teams to benchmark against industry standards, fostering a healthier, more inclusive AI ecosystem.

Lead – Data Engineer I

Company: Ollion

Location: Remote

Posted Nov 07, 2025

Ollion emphasizes innovation and independence, offering scalable solutions and a collaborative environment with competitive benefits. The company highlights its global team's ability to drive transformative change while prioritizing customer impact and flexible work arrangements.

Sr Software Engineer - Frontend

Company: Nurdsoft

Location: Remote

Posted Nov 07, 2025

The job description outlines the responsibilities and requirements for a Senior Software Engineer role. The position involves designing, developing, testing, and supporting frontend solutions in a fast-paced team environment. The ideal candidate should have extensive experience in software engineering, proficiency in languages like TypeScript, JavaScript, HTML5, and CSS, and familiarity with frameworks such as React, Svelte, and Angular. The role emphasizes collaboration, problem-solving, and staying updated with the latest technologies.

Housing Senior Support Consultant

Company: NECSWS

Location: Remote

Posted Nov 07, 2025

NEC Software Solutions offers a positive work environment with competitive benefits, flexible hours, and opportunities to make an impact through innovative technology solutions. The job description highlights technical support roles with growth potential, emphasizing collaboration with public sector organizations and career development prospects.

Sales Representative

Company: Skrapp.io

Location: Worldwide

Posted Nov 07, 2025

Skrappio, a leading SaaS provider, is seeking an enthusiastic and results-driven Sales Representative to join their expanding team. The role involves prospecting, conducting sales presentations, building relationships, developing sales strategies, negotiating contracts, tracking sales metrics, gathering customer feedback, and staying updated with market trends. The ideal candidate should have proven sales experience, excellent communication skills, familiarity with CRM software, and a results-oriented mindset.

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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