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.

HOUSEKEEPER (FULL TIME)

Company: Flik Hospitality Group

Location: Las Vegas, NV

Posted Oct 23, 2025

Responds to calls for housekeeping problems, such as spills and broken glasses. Associates may also be eligible for paid and/or unpaid time off benefits in…

Machine Learning Engineer-4 years of experience

Company: B2U Storage Solutions

Location: United States

Posted Oct 23, 2025

Develop and deploy machine learning models to predict battery degradation, state of charge, and safety conditions using large datasets.

Business Improvement Analysts

Company: Medtronic

Location: San Antonio, TX

Posted Oct 23, 2025

You will facilitate alignment meetings to drive project success from design to implementation, leveraging new tools and technology to increase automation in…

Senior Oncology Clinic and Infusion Registered Nurse (RN) - Northwest Houston, Tx

Company: Texas Oncology

Location: Houston, TX

Posted Oct 23, 2025

RN state license and current registration with the State Board of Nursing in practicing state. Triages patient phone calls as needed and documents relevant…

Pharmacist

Company: WALGREENS

Location: Round Rock, TX

Posted Oct 23, 2025

Paid Time Off (PTO) – Available after three months of service (subject to state law) because work-life balance matters.

Security Officer - Academic Patrol Operations

Company: Allied Universal

Location: Philadelphia, PA

Posted Oct 23, 2025

A valid driver's license will be required for driving positions only. As a condition of employment, applicants will be subject to a background investigation in…

AppleCare Data Scientist

Company: Apple

Location: Austin, TX

Posted Oct 23, 2025

Partner with technical and non-technical stakeholders to translate problem statements and requests into technical requirements.

Registered Nurse, Operating Room / Iraq

Company: International SOS Government Medical Services

Location: Houston, TX

Posted Oct 23, 2025

Within our portfolio of companies, International SOS Government Medical Services (GMS), headquartered in Houston, Texas provides contracted healthcare support…

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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