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.

Marine Electrician - 25476

Company: HII

Location: Bremerton, WA

Posted Oct 13, 2025

Must be proficient at read electrical schematics, wiring diagrams, and technical manuals. Must be able to provide own basic hand tools as designated per trades…

Lead Machine Learning Engineer - ML/AI

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large…

Geriatrician

Company: Duke Health

Location: Durham, North Carolina

Posted Oct 13, 2025

Senior Lead Data Engineer

Company: Capital One

Location: Chicago, IL

Posted Oct 13, 2025

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Armed Security Guard - Retired Law Enforcement Officer - Staten Island

Company: Arrow Security

Location: Staten Island, NY

Posted Oct 13, 2025

A valued contributor to our respectful and rewarding work culture the Armed Security Guard is responsible for performing licensed security guarding duties to…

Sr. Software Engineer, Front End / Full-Stack (JavaScript ES6+, Angular, NgRX, AWS Fargate)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Own the technical design and development of cross-functional, multi-platform application systems. 2+ years of experience with open-source state management and…

Graduate Development Program, Associate Data Analyst, Global Data Analysis

Company: National Grid

Location: Brooklyn, NY

Posted Oct 13, 2025

Valid driver’s license required with a safe driving history that meets National Grid’s Safe Driver policy. Advanced experience with SQL, Microsoft Excel, Power…

Distinguished AI Engineer (Agentic AI Platform Infrastructure)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

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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