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.

Package Specialist-SAP HANA SCM PP

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise in SAP PP modules, project leadership, testing, and collaboration with clients. Requirements include a bachelor's degree, 6+ years of SAP experience, and skills in configuration, testing, and post-implementation support.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration with industry visionaries, and opportunities to innovate in hybrid cloud and AI. It highlights technical expertise, professional growth, and a culture of curiosity and empathy, while outlining required skills like Python and data platforms.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role as an Automation Testing Practitioner at IBM Consulting, involving designing testing solutions, automating processes, and collaborating with teams. Requirements include a bachelor's degree, 5+ years of QA experience, and expertise in Java, Selenium, and testing frameworks. Preferred qualifications include Python knowledge and experience with specific tools.

IT Network Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This job description outlines a network engineer role requiring 15 years of experience in networking, LAN/WAN technologies, and firewall systems. The position involves network support, configuration, monitoring, and compliance with security standards, with preferred qualifications including cloud networking and ITIL processes.

Package Consultant-SAP Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovation. Responsibilities include leading SAP solutions, collaborating globally, and requiring extensive SAP integration experience.

Package Consultant-Oracle Enterprise Performance Management Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and career growth opportunities. It outlines required skills, responsibilities, and the role of a consultant as a trusted advisor.

Application Architect-Microsoft Business Applications

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on long-term client relationships, global collaboration, and technical expertise in hybrid cloud and AI solutions. It outlines role responsibilities, required skills in X++/C, technical design, and integration tools, along with preferred experience in lifecycle services and cloud platforms.

Industry Consultant-Consulting Services

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role within IBM's consulting delivery centers, focusing on technical expertise in fraud management solutions, Java-based enterprise systems, and UI development. It specifies educational requirements, including a bachelor's degree, and emphasizes experience with Actimize platforms, test-driven development, and web services technologies.

Application Developer-Microsoft Middleware

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, focusing on hybrid cloud and AI solutions. The position requires expertise in SAP BTP, Microsoft BizTalk 2020, and cloud integration technologies. Responsibilities include system migration, performance optimization, and collaboration with technical teams. It emphasizes technical skills in cloud platforms, API management, and deployment processes.

Package Specialist-SAP SCM SD

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in SAP systems, team collaboration, training skills, and specific educational qualifications. It emphasizes technical proficiency and experience in SAP support projects.

Intern 2026: AI-based forecasting of molecular interactions

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM Research emphasizes innovation and problem-solving in technology development. The internship focuses on analyzing Wnt protein interactions using machine learning, requiring expertise in Python and high-performance computing. The role involves collaborative research, data analysis, and contributing to scientific publications.

Technical Consultant - Application Security

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and professional growth opportunities. It outlines responsibilities in application security, risk mitigation, and compliance with industry standards, while highlighting required expertise in security tools and frameworks.

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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