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.

Cloud Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Cloud seeks experienced DevOps engineers to contribute to next-gen cloud platforms, emphasizing innovation, growth, and collaboration in a supportive environment. The role involves developing cloud services, optimizing performance, and working with cutting-edge technologies like Kubernetes and OpenTelemetry.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and impactful work with innovative companies. It emphasizes growth opportunities, mentorship, and responsibilities in accounts receivable management with advanced technologies.

Security Consultant - L3 Application Security

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration, innovation, and professional growth opportunities. It highlights roles in application security, technical expertise requirements, and industry standards compliance.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Project Manager role at IBM Consulting, requiring expertise in project management, technical skills, and experience with SAP implementations. The position involves managing complex projects, client relationships, and traveling within India. Educational qualifications and certifications like PMP/ITIL are preferred.

Developer Processor Development (m/w/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 15, 2025

IBM seeks a Developer mfx to innovate in high-performance computing, emphasizing collaboration and expertise in digital circuits and hardware development. The role involves designing cutting-edge processor architectures and optimizing systems for future technological challenges.

Solution Architect-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's delivery centers focusing on data platform design, cloud technologies, and customer collaboration. Responsibilities include solution architecture, presales support, and technical implementation. Required expertise spans data engineering, Azure cloud platforms, and big data technologies.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global collaboration, digital transformation, and client relationship management. The role emphasizes agile methodologies, AI-powered workflows, and strategic partnerships to drive innovation and operational excellence across industries.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The role involves working with clients on hybrid cloud and AI projects, requiring software development skills and collaboration in IBM's innovation centers.

Industry Consultant-Telecommunications

Company: IBM

Location: New Delhi, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise, team leadership, and innovation in delivering solutions to clients. It highlights opportunities for skill development, cross-disciplinary work, and industry-specific knowledge growth.

Machine Learning, Computer Vision, Deep Learning, Natural Language Processing- MSc and PHD-Summer internship 2026- Research Lab

Company: IBM

Location: Haifa, IL

Posted Dec 15, 2025

This text promotes an AI research internship at IBM, highlighting opportunities to work on cutting-edge projects in generative models and multimodal AI. It emphasizes innovation, collaboration, and impactful research with potential for publication in top conferences.

Data Engineer - Data Platform

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing long-term client relationships, collaboration with industry visionaries, and opportunities for growth. It highlights technical expertise in data engineering, Python, and big data technologies, while promoting a culture of innovation and continuous learning.

Quote to cash Intern

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The role supports sales execution and compliance, emphasizing collaboration and client experience. It offers growth opportunities and a focus on innovation through tools like Watsonx.

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.

Related Pages