Ai-Enhanced Technology Jobs

786,411 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.

Account Executive

Company: Botkeeper Inc

Location: Remote

Posted Dec 14, 2025

This job description outlines the responsibilities and qualifications for an Account Executive role at Botkeeper, emphasizing growth-driven sales, account ownership, and performance metrics. It highlights required skills, certifications, and benefits like competitive compensation and remote work opportunities.

Werkstudent - FSS (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job posting from IBM Client Innovation Center Germany describes a consulting role involving technical expertise delivery to public and private sector clients. Responsibilities include project management support, team collaboration, documentation, and project controlling. Requirements include academic qualifications, Microsoft Office proficiency, strong communication skills, and bilingual abilities.

Application Developer-SAP Enterprise Integration

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting focusing on Supply Chain projects, requiring SAP expertise and collaboration with clients globally. The position emphasizes leadership in Practice Development, successful project delivery, and fostering expertise sharing within the SAP community.

Desarrollador SAP FIORI

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing global client collaboration, innovation in hybrid cloud and AI, and technical expertise in SAP technologies. It outlines role responsibilities, required education, and preferred skills for working in IBM's delivery centers.

Senior Jira Administrator

Company: Canonical

Location: EMEA

Posted Dec 14, 2025

Canonical, a leading open-source software provider, is seeking a Jira Administrator to manage their Atlassian Jira Cloud platform. The role involves automation, integration, and data-driven decision-making within a global team. The company emphasizes innovation, remote work flexibility, and competitive benefits, positioning itself as a pioneer in open-source technology.

Package Consultant-SAP HANA SCM SD

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP systems, and opportunities to drive innovation. It outlines responsibilities like project leadership, technical integration, and required skills in SAP configurations and business process integration.

Digital Sales Specialist

Company: IBM

Location: Valencia, ES

Posted Dec 15, 2025

This text promotes an IBM Global Sales role emphasizing collaboration, innovation, and career growth opportunities. It highlights working with clients, driving digital transformation, and being part of a supportive global team focused on solving business challenges through technology and expertise.

Staff AI Innovation Engineer - Employee Experience

Company: Airbnb

Location: USA

Posted Dec 14, 2025

This role involves developing AI-powered solutions for employee experience, collaborating with cross-functional teams, and creating innovative tools to enhance workflows and data-driven decisions.

Data Analyst

Company: Form Health

Location: USA

Posted Dec 14, 2025

Form Health is a telemedicine obesity treatment clinic offering high-quality care through a multidisciplinary team. They seek a Data Analyst to drive data-driven decisions across product development and operations, with a focus on improving healthcare outcomes. The role includes building dashboards, collaborating with cross-functional teams, and working remotely. The company emphasizes patient-centric care, innovation, and a diverse, inclusive workplace with competitive benefits.

Senior Software Engineer - Backend - Growth Platform

Company: Kraken

Location: USA

Posted Dec 14, 2025

Kraken promotes crypto adoption with a global team, focusing on innovation and security. They seek experienced engineers to build scalable tools and enhance user experiences.

Director of Product - Develop

Company: Webflow

Location: USA

Posted Dec 14, 2025

Webflow is seeking a Director of Product to lead their Develop pillar, focusing on AI-powered tools and developer experiences. The role involves shaping strategy, collaborating with engineering, and driving innovation while offering competitive compensation and benefits.

Senior Quality Engineer

Company: IBM

Location: Brno, CZ

Posted Dec 15, 2025

IBM Software seeks a Senior Quality Engineer to contribute to innovative AI-powered solutions, emphasizing collaboration, quality standards, and growth opportunities in a dynamic team environment.

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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