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.

Application Consultant-DevOps

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This role involves working with clients to enhance hybrid cloud and AI solutions using DevSecOps tools, requiring expertise in cloud platforms, automation, and collaboration.

Dealmaker

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's AI and data platform enables organizations to leverage data across hybrid environments, creating value through trust, speed, and innovation. The role involves leading complex technology deals, articulating business value, and structuring long-term contracts with international clients.

Application Developer-Cloud Fullstack

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, stakeholder engagement, and technical expertise in areas like Java, Springboot, and Kubernetes. The role involves comprehensive feature development, problem-solving, and continuous learning within IBM's ecosystem.

Curador Senior

Company: IBM

Location: NO City, BR

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and strategic problem-solving. Responsibilities include content curation, chatbot development, and data analysis, requiring skills in IBM Watsonx, Python, and NLP. The role demands a hybrid technical-strategic profile with UX focus.

Estágio em Consultoria Estratégica – Hybrid Cloud & Data

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This job at IBM Consulting emphasizes long-term client collaboration, innovation in cloud and AI, and career growth through continuous learning and strategic projects.

Senior iOS Mobile Application Developer - 6 months FTC

Company: IBM

Location: London, GB

Posted Dec 09, 2025

IBM CIC offers career growth, training, and a supportive work environment for developers. The role involves innovative healthcare solutions with benefits like flexible work and recognition programs.

Procurement Profession and Tactical Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a Tactical Buyer role at IBM, outlining responsibilities such as procurement operations, vendor management, and communication skills. It emphasizes experience in procurement, client interactions, and compliance with contractual requirements.

保険業界向け コンサルタント

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This text describes an IBM job role focused on collaborating with clients to drive digital transformation through hybrid cloud and AI technologies. It emphasizes innovation, career growth opportunities, and the company's supportive culture while highlighting required expertise in system development and project management.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: Chennai, IN

Posted Dec 09, 2025

This role involves accounting responsibilities, collaboration with clients, and career growth opportunities at IBM Consulting, requiring expertise in R2R processes and ERP systems.

Quantum Processor Scientist

Company: IBM

Location: Yorktown Heights, US

Posted Dec 09, 2025

IBM Research seeks scientists to advance AI, quantum computing, and blockchain. Roles involve designing quantum processors and require advanced degrees in physics with expertise in superconducting devices and quantum error correction.

Data Engineer-Data Warehouse

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovation. Responsibilities include data analysis, collaboration with teams, and developing predictive models. Required skills include database design and SQL optimization.

Java Developer - Defence

Company: IBM

Location: Cheltenham, GB

Posted Dec 09, 2025

IBM CIC offers career growth, training, and innovative projects in a supportive environment, emphasizing continuous learning and professional development.

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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