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.

Cloud Engineer

Company: Atrium Staffing

Location: New York, NY

Posted Oct 04, 2025

Bachelor's degree in Computer Science, Information Technology, or a related field is required. Professional development budget and certification reimbursement.

Home Infusion Pharmacist-Leadership Track (Future PIC)

Company: ASHC, Inc.

Location: Jacksonville, FL

Posted Oct 04, 2025

Current and active pharmacist license in GA and FL. Monitor therapy outcomes, identify adverse drug events, and document clinical interventions.

Security Officer - Armed Patrol Driver

Company: Allied Universal

Location: San Jose, CA

Posted Oct 04, 2025

Must have a valid driver's license in the state where the job is located and meet Allied Universal driver policy requirements for driving positions.

Full-Time Customer Experience Specialist

Company: Wayfair

Location: Houston, TX

Posted Oct 04, 2025

Utilize various customer service tools, software, and systems to efficiently manage customer interactions. We are seeking a Customer Experience Associate to…

GenAI Solutions Architect - SFL Scientific

Company: Deloitte

Location: San Diego, CA

Posted Oct 04, 2025

Stay ahead of industry trends, evaluate new tools/features, pilot innovative solutions, and shape roadmaps for client-facing GenAI tools.

Software Engineer

Company: Microsoft

Location: Redmond, WA

Posted Oct 04, 2025

Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not…

Data Analyst

Company: Corebridge Financial

Location: Houston, TX

Posted Oct 04, 2025

Bachelor’s degree in engineering, Economics, Statistics, Computer Science, or a related field. Design and build interactive dashboards and reports using Power…

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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