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.

F&A Delivery Manager

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

The text describes a leadership role at IBM's consulting delivery centers, emphasizing innovation, client satisfaction, and operational excellence. It outlines responsibilities including team management, service delivery, and strategic planning, while highlighting required expertise in financial processes and large-scale project management.

Senior OCP Consultant

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

The role offers career growth in a collaborative IBM environment, focusing on cloud technologies and client solutions with a positive impact.

Quality Engineer-Automation

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation through collaboration, training, and testing skills. Key responsibilities include team collaboration, technical training, and system integration.

Application Architect-SAP NextGen Technical Innovation

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, technical leadership, and professional growth opportunities through SAP expertise and project management responsibilities.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves collaborating with clients on hybrid cloud and AI solutions, requiring Java expertise and microservices development skills. It emphasizes long-term client relationships and innovation through strategic technology platforms.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This role offers opportunities to work globally with clients, lead innovative projects, and leverage advanced technologies for career growth.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This text describes a consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and career development opportunities. It outlines responsibilities such as solving business problems, developing scalable solutions, and meeting client specifications. The job requires a bachelor's degree, Oracle experience, and preferred skills in cloud technologies and integration tools.

Security Specialist-Infrastructure Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise in cloud engineering, system infrastructure, and CDN technologies. Responsibilities include optimizing technical infrastructure, analyzing data for decision-making, and managing system reliability. Requirements include a bachelor's degree, cloud platform experience, and strong analytical skills.

Application Architect-Salesforce

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical expertise in Salesforce implementation. It highlights opportunities for impactful work with strategic partners and industry-specific expertise in sectors like banking.

Product Manager

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

The text describes a Product Manager role at IBM focused on leading observability for generative AI technologies. It highlights opportunities for innovation, collaboration with cross-functional teams, and requirements including expertise in AI monitoring tools, cloud-native systems, and agile practices. The role emphasizes driving product growth and staying ahead of industry trends in AI observability.

SAP ABAP HANA and Fiori Developer

Company: IBM

Location: Bucharest, RO

Posted Dec 09, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, technical expertise in SAP technologies, and opportunities for professional growth across various industries and disciplines.

Associate Quality Engineer-Automation

Company: IBM

Location: BANGKOK, TH

Posted Dec 09, 2025

This job description highlights opportunities for career growth in IBM Consulting, emphasizing collaboration with global clients, impact on hybrid cloud and AI initiatives, and professional development. It outlines responsibilities as a Quality Engineer, required skills in software testing and cloud computing, and preferred experience with testing tools and data analysis.

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