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.

Business Transformation Consultant-Finance Transformation

Company: IBM

Location: SYDNEY, AU

Posted Dec 17, 2025

The text promotes IBM Consulting's internship program, emphasizing career growth, collaboration with clients, and opportunities for professional development. It highlights a supportive culture, skill-building, and exposure to innovative projects in hybrid cloud and AI, while showcasing a positive outlook on long-term career advancement.

Data Scientist Intern: 2026 - Research Triangle Park

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 17, 2025

This text describes an internship opportunity at IBM's Business Platform Transformation, highlighting roles in AI and data science with collaborative environments, professional development, and impactful projects. It outlines responsibilities involving machine learning, strategic planning, and project management, along with required technical skills and soft skills.

Data Scientist-Advanced Analytics - Junior

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This job posting describes a role within IBM Consulting's innovation centers, focusing on data visualization tools like PowerBI, Spotfire, and Tableau. The position requires a bachelor's degree and expertise in data visualization technologies, with emphasis on delivering technical solutions to clients worldwide.

Package Consultant-Oracle HCM Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This text promotes an Oracle Cloud Consultant role at IBM Consulting, emphasizing collaboration, innovation, and career growth opportunities. It highlights working with global clients on hybrid cloud and AI solutions, along with technical expertise requirements and preferred qualifications.

Application Developer-Edge & Network Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 17, 2025

The text highlights opportunities in IBM Cloud, emphasizing career growth, innovation, and technical development. It outlines roles involving product development, collaboration, and expertise in cloud technologies, with requirements including certifications and experience in networking and automation.

Quality Engineer Intern - Fullstack

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

IBM Consulting offers roles in hybrid cloud and AI with collaboration opportunities. Responsibilities include testing, automation, and cross-functional teamwork in a growth-focused environment.

Data Engineer Machine Learning

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes job responsibilities related to designing data systems, maintaining infrastructure for machine learning models, and required qualifications such as a bachelor's degree and specific technical skills. It also mentions preferred postgraduate studies in data.

Consultant Oracle Cloud PPM

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves delivering Oracle Cloud PPM projects, leading solution development, and supporting client success through expertise in finance, technology, and process optimization.

SAP Advanced Variant Configuration (AVC) Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description highlights a role in IBM Consulting's SAP Advanced Variant Configuration team, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and responsibilities involving configuration modeling, governance, and integration with business processes. The position requires expertise in SAP modules and offers flexibility to work from anywhere in the US.

SAP FI Consultant - Group Reporting (Hana)

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and the role's focus on delivering high-quality SAP HANA implementations. It highlights the importance of technical expertise, industry knowledge, and working within IBM's delivery centers to drive technological adoption and client success.

Application Developer-ServiceNow

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This role involves collaborating with global clients on innovative projects, requiring a bachelor's degree and certifications in ServiceNow products, with opportunities for professional growth through strategic partnerships and technology platforms.

Analista de Infra/SRE

Company: IBM

Location: NO City, BR

Posted Dec 17, 2025

This text describes a career opportunity at IBM Consulting focused on digital transformation through agile methodologies and AI-driven processes. It highlights collaboration with clients, innovation in cloud and AI solutions, and a culture emphasizing long-term growth, technical expertise, and creative problem-solving. The role requires DevOps/SRE skills, Kubernetes administration, and automation expertise, with a strong emphasis on career development and impactful outcomes.

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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