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.

Travel Operations Specialist

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems. They offer a distributed work environment with team sprints and opportunities for travel. The company values excellent communication skills, self-awareness, and accountability. They offer competitive compensation, benefits, and a personal learning budget.

Lead Full Stack Engineer – .NET

Company: Varicent

Location: Mexico

Posted Dec 03, 2025

The text highlights a job posting for a Lead Backend Software Developer role at Varicent, emphasizing innovation, team collaboration, and modern technology. It outlines responsibilities like building features, optimizing systems, and working with AWS tools, while showcasing benefits such as remote work flexibility, competitive compensation, and global collaboration opportunities.

Security Software Engineer

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on security. They are looking for exceptional security-focused software engineers to join their globally distributed teams. The company offers a distributed work environment, personal learning and development budget, and various benefits.

Software Engineer 5 - TV Client Foundations

Company: Netflix

Location: USA

Posted Dec 03, 2025

The text highlights Netflix's commitment to creating exceptional TV experiences, emphasizing team collaboration, innovation, and diverse values. It outlines job opportunities with focus on technical expertise, scalability, and a supportive work culture, while detailing competitive benefits and inclusive practices.

Software Engineer - Python and K8s

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical's job posting highlights their mission to reinvent open source software management, emphasizing innovation in cloud computing, Kubernetes, and global collaboration. The role offers opportunities to work on cutting-edge technologies with a distributed team, along with benefits like remote work, travel, and professional development. The company promotes a culture of excellence and diversity, with a focus on impactful engineering and open source contributions.

Financial Analyst

Company: Blackbaud

Location: USA

Posted Dec 03, 2025

This job posting describes a Financial Analyst role at Blackbaud, requiring 13 years of experience and proficiency in financial tools. The position involves budget forecasting, reporting, and process improvements. Blackbaud emphasizes a remote-first culture, equal opportunity, and competitive compensation.

Software Engineering Manager - Container and Virtualisation Infrastructure

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI engineering, and IoT. The company is founder-led, profitable, and growing, with a mission to build a next-generation private cloud infrastructure. They are hiring engineering managers with experience in high-quality microservice architectures and deep familiarity with Linux kernel virtualization, storage, and networking.

Software Engineer L4 - Revenue Finance Infrastructure

Company: Netflix

Location: USA

Posted Dec 03, 2025

The text describes Netflix's global entertainment services and a job opening for a Revenue Infrastructure engineer. It outlines team responsibilities, technical requirements, and company values, with details about compensation and diversity initiatives.

Project Manager - Ubuntu Embedded Systems

Company: Canonical

Location: Remote

Posted Dec 03, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is hiring a Project Manager for Ubuntu Embedded Systems to coordinate and complete large, complex customer-facing projects involving the delivery of Ubuntu images on various devices. The role requires solid project management experience, excellent communication skills, and the ability to work with cross-cultural and multi-continental teams.

Optimization Scientist

Company: Red Cell Partners

Location: Remote

Posted Dec 03, 2025

This job posting highlights an exciting opportunity to work with world-renowned researchers in AI and optimization, emphasizing innovation, interdisciplinary collaboration, and impactful problem-solving in complex industries.

AI Engineer - FDE (Forward Deployed Engineer)

Company: Databricks

Location: Remote

Posted Dec 03, 2025

The AI Forward Deployed Engineering AI FDE team at Databricks is a highly specialized customer-facing team that delivers professional services to help customers build and productionize first-of-its-kind AI applications. The team collaborates cross-functionally with engineering, product, and developer relations to shape long-term strategic priorities and initiatives. They are looking for individuals with strong unique specializations in building GenAI applications, deploying production-grade GenAI applications, and extensive hands-on industry data science experience.

Deputy Sanctions Officer (Director)

Company: Kraken

Location: Remote

Posted Dec 03, 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 offer industry-leading security, education, and client support through products like Kraken Pro, Desktop Wallet, and Kraken Futures. The company is fully remote with Krakenites in 70+ countries speaking over 50 languages. They are seeking a Deputy Sanctions Officer Director to ensure compliance with global sanctions regulations and safeguard the firm against sanctions risk.

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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