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 Engineer

Company: IFS

Location: Chicago, IL

Posted Sep 25, 2025

You will work across the stack—prompting, tools, retrieval, evaluation, guardrails, and backend services—collaborating closely with product, design, and data…

QA Automation Engineer

Company: Citi

Location: Irving, TX

Posted Sep 25, 2025

Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality.

Staff Accountant

Company: Atrium Staffing

Location: New York, NY

Posted Sep 25, 2025

Bachelor's degree in Accounting, Finance, or related field. Carriers are not liable for delayed or undelivered messages. CPA or CPA eligibility is a plus.

Interaction Visual Designer

Company: Apple

Location: Sunnyvale, CA

Posted Sep 25, 2025

As an interactive visual designer, you’ll design strategic communication for web, email and social media. We are seeking a curious and innovative designer who…

Wireless Sales Associate

Company: OSL Retail Services - US

Location: San Diego, CA

Posted Sep 25, 2025

Process new activations, upgrades, and sales of wireless devices and accessories. Your passion for sales, pursuit of excellence, and strategic insight set you…

ML Data Scientist - Product Analytics, Apple Ads

Company: Apple

Location: Austin, TX

Posted Sep 25, 2025

Work closely with the product team to identify and size new opportunities, develop data requirements, establish appropriate KPIs, and establish proper reporting…

Customer Success Specialist

Company: Atlantic Management Resources, Inc

Location: Dallas, TX

Posted Sep 25, 2025

Valid driver’s license required. You’ll be the bridge between customers and the company—gathering feedback, supporting implementation, and ensuring an…

AI/ML - Applied Research Engineer, Machine Translation

Company: Apple

Location: Seattle, WA

Posted Sep 25, 2025

You will be part of a motivated and dynamic team that is responsible for managing data acquisition projects, training neural machine translation models, and…

Data Science and Analytics Manager

Company: DOT Compliance Group L.L.C.

Location: Bedford, TX

Posted Sep 25, 2025

Bachelor’s degree in data science, statistics, computer science, business analytics, or a related field (Master’s preferred).

TurboTax Principal Technical SEO/GEO Manager

Company: Intuit

Location: San Diego, CA

Posted Sep 25, 2025

Build and drive collaborative relationships across functions (engineering, web ops, design, strategy, analytics), ensuring GEO and SEO principles are integrated…

CNC Operator- 3rd Shift

Company: 5TH AXIS INC

Location: San Diego, CA

Posted Sep 25, 2025

Reliability and ability to listen and follow instruction. 401K with up to 4% matching. Ability to read blueprints and highly proficient at dimensioning/…

World Language Teacher

Company: Southeast Delco School District

Location: Sharon Hill, PA

Posted Sep 25, 2025

Curriculum development and instruction: World Language Teachers implement comprehensive curricula and lesson plans aligned with state and national standards,…

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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