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.

Site Reliability Engineer

Company: KUBRA

Location: Tempe, AZ

Posted Oct 07, 2025

Effective in explaining complex technical issues to both technical and non-technical audiences. Work closely with Development, Infrastructure, and Operations…

Associate Software Engineer (TS/SCI) {S}

Company: ARKA Group, L.P.

Location: King of Prussia, PA

Posted Oct 06, 2025

Bachelor’s degree in computer science or related field. IAT Level II or III certification (i.e. Security+, CISSP, or CASP). Experience with Java, C#, or Python.

Special Education Teacher (Middle/High School)

Company: Great Hearts Texas

Location: Live Oak, TX

Posted Oct 07, 2025

Knowledge of local, state, and federal regulations and policies affecting special education. Through consultation, resource, inclusion, and co-teaching models,…

Senior Data Scientist

Company: Marathon Petroleum Company LP

Location: San Antonio, TX

Posted Oct 06, 2025

You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with…

Data Analyst

Company: SteerBridge

Location: Miramar, CA

Posted Oct 07, 2025

Providing expertise and translating the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.

Associate Product Analyst

Company: Planview Incorporated

Location: Austin, TX

Posted Oct 07, 2025

Ability to quickly learn and adapt to new tools and technologies, especially AI-powered tools like ChatGPT, data visualization platforms, and workflow…

Java Fullstack Developer

Company: Infosys

Location: Plano, TX

Posted Oct 07, 2025

You will create detailed design artifacts like program specifications, test plans; and independently develop and review code and contribute to the go-live plan.

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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