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.

AI Forward Deployed Engineer (Early Career)

Company: Salesforce

Location: Bellevue, WA

Posted Oct 01, 2025

You'll directly push its capabilities to the limit, developing bespoke intelligent agents, automating intricate business processes, and crafting intuitive user…

Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

Company: dsm-firmenich

Location: San Diego, CA

Posted Oct 01, 2025

3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery,…

Graphic Designer

Company: Ralph Lauren

Location: New York, NY

Posted Oct 01, 2025

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel,…

Sr. Information Assurance Security Analyst

Company: SMS Data Products Group, Inc.

Location: San Antonio, TX

Posted Oct 01, 2025

Knowledge and experience in the certification and accreditation processes that require the knowledge of DoD Guidance (DoDD 8500.1, DoDI 8500.2, 8520, AR 25-2),…

Advanced Software Engineer

Company: General Dynamics Mission Systems, Inc

Location: Scottsdale, AZ

Posted Oct 01, 2025

As a software engineer for the SDA GMI program, you’ll be a member of a cross-functional team responsible for developing and deploying the state-of-the-art…

Seasonal Retail Fragrances Sales Associate, Southcenter

Company: Macy’s

Location: Tukwila, WA

Posted Oct 01, 2025

Whether you're preparing products, restocking displays, or assisting with transactions, your attention to detail and genuine hospitality ensure every guest…

Infrastructure Engineer

Company: Acara Solutions

Location: San Antonio, TX

Posted Oct 01, 2025

Do you have infrastructure/analyst experience in a field that supports and provides technical and analytical solutions? Here's what you'd do:

Seasonal Retail Sales Associate - Womens Shoes, Southcenter

Company: Macy’s

Location: Tukwila, WA

Posted Oct 01, 2025

Frequent use of computers and other technology, necessary to perform job functions, including handheld equipment, cash register and ability to process register…

Class A CDL - Linehaul Driver

Company: PENINSULA TRUCK LINES INC

Location: Auburn, WA

Posted Oct 01, 2025

Valid commercial driver's license (CDL) with appropriate endorsements (e.g., Class A, Hazmat, Tanker) required. Reckless driving in any motor vehicle.

Sr Advanced Software Engineer

Company: General Dynamics Mission Systems, Inc

Location: Scottsdale, AZ

Posted Oct 01, 2025

As a software engineer for the SDA GMI program, you’ll be a member of a cross-functional team responsible for developing and deploying the state-of-the-art…

Seasonal Retail At Your Service Associate, Baybrook

Company: Macy’s

Location: Friendswood, TX

Posted Oct 01, 2025

Frequent use of computers and other technology, necessary to perform job functions, including handheld equipment, cash register and ability to process register…

Plumber

Company: Banner Health

Location: Sun City West, AZ

Posted Oct 01, 2025

Requires at least four years of diversified work experience as a plumber and the ability to demonstrate advanced skills in the plumbing and mechanical field.

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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