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.

Security Specialist Intern - Infrastructure Security

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

The text describes a career in IBM Consulting focused on client relationships, hybrid cloud/AI solutions, and security expertise. It highlights opportunities for growth, innovation, and technical skills development in a collaborative environment.

Package Consultant-Oracle Business Analytics

Company: IBM

Location: Kolkata, IN

Posted Dec 17, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning in a supportive work environment.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

The role involves working in IBM's delivery centers to deliver technical expertise, requiring teamwork, training skills, and technical testing abilities.

WW Solution Architect – Multiple Focus Areas (see below)

Company: IBM

Location: Krakow, PL

Posted Dec 17, 2025

IBM's job role emphasizes collaboration, innovation, and career growth, offering opportunities to solve complex challenges and drive digital transformation through technology expertise and a supportive culture.

Oracle Cloud Projects & Grants Lead (Public Sector/K12)

Company: IBM

Location: Irvine, US

Posted Dec 17, 2025

This job description outlines a role as an Oracle Cloud PPM Lead, requiring expertise in managing project portfolio modules, client collaboration, and strategic partnerships. Responsibilities include leading project implementations, configuring systems, and ensuring alignment with business processes. The position demands extensive ERP experience, strong communication skills, and the ability to work in a dynamic environment.

Application Developer - RPA

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

The text describes an Application Developer role at IBM, highlighting responsibilities like software development, strategic projects, and career growth opportunities. It emphasizes benefits such as learning resources, global impact, and cross-functional collaboration, while mentioning perks like travel and skill development.

Application Developer-Open Source

Company: IBM

Location: Pune, IN

Posted Dec 17, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and growth. It highlights working with global clients on hybrid cloud and AI projects, leveraging IBM technology, and fostering a culture of curiosity and continuous improvement. Technical requirements include Python, Spark, and database expertise.

Industry Consultant-Banking

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, emphasizing opportunities for professional growth, technical expertise development, and collaboration with clients. Responsibilities include strategic solution leadership, team management, and comprehensive solution delivery. Required skills involve banking industry experience, Agile methodologies, and technical knowledge in data protection and encryption.

SAP PLM Technical Support

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and technical expertise in SAP systems. It outlines responsibilities involving implementation and support of PLM solutions, along with required skills in ABAP and problem-solving for enterprise-level companies.

Industry Consultant-Public Sector

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This job posting seeks an experienced Healthcare Payer Industry Consultant with expertise in Care Management and Utilization Management. The role involves supporting Care Radius application development, collaborating with stakeholders, and driving workflow improvements. It emphasizes IBM Consulting's focus on innovation, client impact, and career growth through technical and industry expertise. Required skills include domain knowledge, technical proficiency with Care Radius, and collaboration across cross-functional teams.

Application Developer Intern

Company: IBM

Location: Giza, EG

Posted Dec 17, 2025

This text promotes IBM Consulting as a career path emphasizing long-term client relationships, collaboration, and innovation. It highlights opportunities to work with leading companies on hybrid cloud and AI projects, supported by IBM's technology. The role involves integration design, automation, and compliance, with a focus on growth, empathy, and technical expertise.

Java Software Developer

Company: IBM

Location: Hursley, GB

Posted Dec 17, 2025

This job description highlights opportunities to work on innovative WebSphere technologies, collaborate with senior engineers, and contribute to cloud-native and AI advancements in a supportive 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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