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.

Senior Machine Learning Engineer - AI for Space Force

Company: Jaxon, Inc.

Location: United States

Posted Sep 23, 2025

An MS or PhD in Computer Science, Statistics, Physics, Mathematics or any related Engineering field preferred. Ability to context switch as needed.

Data Scientist

Company: Leidos

Location: San Diego, CA

Posted Sep 23, 2025

Identify, prototype, and deploy appropriate (off-the-shelf, fine tuning, or custom) machine learning solutions utilizing state-of-the-art methods and in-depth…

Software Engineer

Company: JPMorganChase

Location: Chicago, IL

Posted Sep 23, 2025

Performance Monitoring using industry standard monitoring tools (Dynatrace, APICA, Splunk, ELK, Prometheus, Grafana etc.) develop and maintain dashboards,…

Social Media Manager

Company: Waymo

Location: Mountain View, CA

Posted Sep 23, 2025

Content Planning - Own the day-to-day content calendar and plan for Waymo’s social media channels, including creative concepting, copywriting, visual assets,…

Assurance Staff Accountant (Entry Level)

Company: Abbott, Stringham & Lynch

Location: Campbell, CA

Posted Sep 23, 2025

Analyze account balances and fluctuations and develop expectations. Develop a working knowledge of firm technology, including engagement software and other…

Graphic Designer / Videographer / Editor / Marketing Specialist

Company: Arsenal Inc

Location: Las Vegas, NV

Posted Sep 23, 2025

Stay current on creative trends, evolving platform specs, and new tools (including AI-assisted creative tools). Familiarity with e-commerce platforms a plus.

Sales Associate - Louis Vuitton, Full Time - 59th Street

Company: Bloomingdale’s

Location: New York, NY

Posted Sep 23, 2025

Act as the point person to answer technical questions and share selling techniques within the boutique. Be entrepreneurial by understanding brand and personal…

The North Face: Seasonal Sales Associate - Valley Fair Mall

Company: The North Face

Location: Santa Clara, CA

Posted Sep 23, 2025

Qualifications: Required · Ability to genuinely and comfortably engage with a diverse group of customers · Ability to work a flexible schedule to meet the needs…

Data Scientist

Company: Leidos

Location: San Diego, CA

Posted Sep 23, 2025

Identify, prototype, and deploy appropriate (off-the-shelf, fine tuning, or custom) machine learning solutions utilizing state-of-the-art methods and in-depth…

Sr. Manager, Growth & Performance Marketing

Company: The Vitamin Shoppe

Location: Secaucus, NJ

Posted Sep 23, 2025

Ability to develop a creative testing flywheel to rapidly experiment with video and personalized content (future state).

Senior Machine Learning Engineer - Remote AI Startup

Company: Jaxon, Inc.

Location: United States

Posted Sep 23, 2025

An MS or PhD in Computer Science, Statistics, Physics, Mathematics or any related Engineering field preferred. Ability to context switch as needed.

Customer Success Representative

Company: Team Architects

Location: San Antonio, TX

Posted Sep 23, 2025

Proficient in CRM tools (HubSpot preferred). Educate clients on how to use the TurboPass dashboard and integrated platforms. Job Type: Full-time | Remote.

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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