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.

Site Reliability Engineering Manager

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. The company is hiring a Site Reliability Engineering Manager to lead a high-performance team in a distributed environment. The role involves leading a team, representing the IS team to stakeholders, organizing internal projects, mentoring engineers, and ensuring proper team focus on priorities and deliverables.

Senior Site Reliability / Gitops Engineer

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical seeks a Senior Site Reliability Engineer to drive automation and innovation in open-source technologies, offering global collaboration, competitive benefits, and a dynamic work environment.

Lead Product Marketing Manager

Company: Apollo.io

Location: Remote

Posted Dec 02, 2025

This job description outlines the responsibilities and requirements for a Lead Product Marketing Manager role at Apollo, emphasizing cross-functional collaboration, ownership mindset, and strategic initiatives across the customer lifecycle. The position demands expertise in GTM strategy, product positioning, and data-driven decision-making to drive growth and customer engagement.

Growth Engineer

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is seeking an experienced Growth Engineer to join their team and take ownership of their marketing technology stack, data architecture, and infrastructure. The role involves designing and scaling systems that power marketing automation, lifecycle marketing, and data-driven growth initiatives. The ideal candidate will be passionate about technology, data, and the use of technology in marketing, and will thrive in an environment that emphasizes ownership, collaboration, learning, and continuous improvement.

Software Engineer - Data Infrastructure - Kafka

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is building a comprehensive automation suite for multicloud and on-premise data solutions. The data platform team develops managed solutions for various data stores and technologies, focusing on fault-tolerant, mission-critical distributed systems. They are looking for candidates with experience in Big Data technologies like Kafka and Spark, and offer a fully remote working environment with competitive pay and benefits.

Junior Linux Kernel Engineer - Ubuntu

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on Ubuntu. The company is global, distributed, and offers opportunities for junior professionals to work on the Linux kernel. Canonical values diversity, remote work, and personal development.

Software Engineer - Python - Container Images

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They offer a rewarding career working with the best people in technology, building container images and contributing to open source projects. The company values collaboration, diversity, and knowledge sharing.

Rust Engineering Lead - Linux and Open Source

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is hiring Rust Engineering Leads to drive adoption of Rust in their open-source projects and platforms like Ubuntu. The role involves designing software, advocating for Rust, and collaborating globally in a distributed environment with opportunities for growth and innovation.

Engineering Manager for IAM (Identity and Access Management)

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They are hiring an Engineering Manager for IAM to build high-performing services and secure identity and access management solutions. The role involves working with upstream open source projects and internal teams to deliver high quality software.

Lead Senior Compliance Associate

Company: Kraken

Location: Remote

Posted Dec 02, 2025

Kraken promotes its mission-driven culture, global crypto expertise, and commitment to innovation and compliance. The text highlights opportunities for experienced professionals, emphasizes industry-leading standards, and showcases diversity and inclusion efforts in hiring practices.

Engineering Manager - Managed Services

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems. They offer a globally remote role for an Engineering Manager to manage a growing engineering team and deliver quality managed services. The company values diversity, offers a distributed work environment, and provides benefits like a personal learning budget and annual compensation review.

Partner Sales Manager - Hewlett Packard Enterprise

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical promotes itself as a leading open source provider with widespread enterprise adoption and global collaboration. The text highlights growth opportunities, key partnerships, and a job opening for a Partner Sales Manager with HPE, emphasizing innovation and open source capabilities.

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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