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.

Retail Sales Associate- New Store Opening Santa Monica

Company: Eileen Fisher

Location: Santa Monica, CA

Posted Oct 08, 2025

Employee and Friends & Family discount. Ability to climb short/tall ladders, twist, bend, and stoop to retrieve items from floor, shelves, and hooks.

Lead Software Engineer, DevOps

Company: Capital One

Location: New York, NY

Posted Oct 08, 2025

Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible…

Lead Software Engineer

Company: Capital One

Location: New York, NY

Posted Oct 08, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

Metric & Data Analyst - Grand Prairie, TX or Orlando, FL

Company: Lockheed Martin

Location: Grand Prairie, TX

Posted Oct 08, 2025

As the Metric & Data Analyst you will own the full data life‑cycle-from extraction and cleansing through modeling and reporting.

Furniture Sales Consultant

Company: Havertys Furniture Companies

Location: San Antonio, TX

Posted Oct 08, 2025

Our unique guaranteed income component provides generous base earnings, giving you peace of mind. Substantial associate discount on our quality merchandise.

JANITOR (FULL TIME)

Company: ESFM

Location: Austin, TX

Posted Oct 08, 2025

Performs tasks in accordance with all federal, state and county guidelines. Associates may also be eligible for paid and/or unpaid time off benefits in…

Carpenter / Framer

Company: Sumer Innovations

Location: San Antonio, TX

Posted Oct 08, 2025

A business license is required. Bachelor’s degree in a related field. Sumer Innovations is a remote building design and business networking platform utilizing…

Solutions Architect, Worldwide Field Operations - New College Graduate 2026

Company: NVIDIA

Location: Santa Clara, CA

Posted Oct 08, 2025

Bachelors or Masters degree in Computer Science, Math, Physics or related technical field or equivalent experience. Large-scale systems management experience.

Information Security Analyst

Company: ConnectOne Bank

Location: Englewood Cliffs, NJ

Posted Oct 08, 2025

Bachelor’s Degree in computer science, programming, or a related field or equivalent experience required. Proficient, or able to gain proficiency with a broad…

HOUSEKEEPER (PART TIME)

Company: Crothall Healthcare

Location: Humble, TX

Posted Oct 08, 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…

Data Analyst 3 - Insights Delivery

Company: Nordstrom

Location: Seattle, WA

Posted Oct 08, 2025

The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data…

Sanitation

Company: Mclane Company, Inc.

Location: Arlington, TX

Posted Oct 08, 2025

Additional benefits: pet insurance, parental leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

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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