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.

Sr. Institutional Relationship Managers

Company: Kraken

Location: Hong Kong,Taiwan, Province of China,Singapore

Posted Nov 17, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They are hiring Senior Institutional Relationship Managers to expand their client base and generate revenue through business development across APAC. The role involves building relationships with clients, generating leads, and partnering with various teams to enhance the product offering.

Machine Learning Engineer - AI for Member Systems

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a passionate and talented Machine Learning Engineer to join their AI for Member Systems team. The role involves collaborating with cross-functional teams to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences. The ideal candidate should have 5+ years of experience in applying machine learning in an industrial setting, a PhD or Masters in a related field, and expertise in machine learning algorithms and frameworks.

Sr. Institutional Relationship Managers

Company: Kraken

Location: USA

Posted Nov 17, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They are hiring experienced sales professionals to expand their institutional client base and generate revenue through business development across the US.

AI Image Processing Specialist - Qualified Pipeline

Company: Data Meaning

Location: USA

Posted Nov 17, 2025

Data Meaning is a leading Business Intelligence and Data Analytics consulting firm seeking an AI Image Processing Specialist to innovate product image automation for retail clients. The role involves developing AI-driven processes for image transformation, collaborating with clients, and staying updated with AI advancements.

Senior Product Designer - Data & Developer Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix seeks Senior Product Designers to innovate infrastructure platforms, focusing on developer tools, data analytics, and AI integration. The role emphasizes intuitive design, cross-functional collaboration, and impactful user experiences while offering competitive compensation and benefits.

Software Engineer L7 - Enterprise Solutions

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a technical thought leader to shape the future of its enterprise ecosystem by rearchitecting systems, driving AI-native product development, and fostering a culture of operational excellence. The role offers a competitive compensation package and values diversity and inclusion.

Lead Product Manager

Company: Green Dot Corporation

Location: USA

Posted Nov 17, 2025

Green Dot is seeking talented professionals across the United States to join their team in developing smart money management and payment solutions. They are transitioning to a permanent Work from Anywhere model to attract top talent and promote a strong company culture. The Lead Product Manager role involves designing and driving end-to-end product planning and execution for partner products and services, with a focus on migrating a partner platform from on-prem to cloud.

Engineering Manager - Machine Learning, Model Evaluations and Data Curation (AI Foundations)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is investing in fast-paced innovation in large language models and generative AI to reshape personalization and discovery. The Model Evaluations and Data Curation team is central to this transformation, building benchmarks, evaluators, and baselines to guide LLM progress and deliver high-quality training datasets. The team is seeking a seasoned engineering leader to build and scale the group, focusing on evaluation science, data systems, and foundation models.

Technical Director - Internal Game Studio (ISX2)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is seeking a Technical Director to lead a new transmedia gaming experience on their CloudGaming platform. The role involves assembling and managing a world-class engineering team, making technology decisions, and ensuring alignment with Netflix's platform technologies. The company values integrity, excellence, respect, inclusion, and collaboration.

UI Engineer (L5) - Content & Business Products

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is constantly innovating to entertain the world and improve content production and member experiences. Engineering teams work on scaling and innovating content production, building products and services to optimize and automate the content creation process, and supporting enterprise needs. The company values diversity, inclusion, and high standards of conduct and performance.

Sr. Consultant Change Management

Company: phData

Location: USA

Posted Nov 17, 2025

The role of a Senior Change Management Consultant in the Advisory Practice involves partnering with clients to drive successful adoption of data-driven and AI-enabled solutions. The consultant will develop and execute change management strategies, work closely with clients to design communication and training programs, and manage organizational resistance to ensure sustainable change. The ideal candidate should have 4+ years of experience in change management, strong technical understanding, and excellent communication skills.

TV UI Engineer (L5) - Games Player Experiences

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix seeks a senior TV UI engineer to innovate Game Player experiences, emphasizing collaboration, accessibility, and inclusive culture. The role involves building scalable, performant code and driving cross-functional initiatives.

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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