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.

Arquiteto de solução - cognitiva

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This text describes a senior professional role in IBM Consulting focused on innovation, collaboration, and technical expertise. It highlights opportunities to work with global clients, leverage advanced technologies like AI and cloud computing, and contribute to impactful projects through a culture of continuous learning and growth.

Network and Computer Systems Administrator Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

The text promotes IBM's apprenticeship program as an opportunity to grow professionally, solve complex problems, and develop skills through hands-on experience. It emphasizes collaboration, learning, and career advancement while outlining requirements and program structure.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovation, focusing on data analysis, predictive modeling, and collaboration with diverse teams using tools like Python and Spark.

Application Arhictect

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

This job description outlines a Cloud Application Architect role at IBM Consulting, emphasizing collaboration with global clients, designing scalable cloud solutions, and leading technology selection. It highlights required qualifications including a bachelor's degree, 7+ years of experience, and expertise in cloud platforms like AWS and Azure.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth opportunities. Responsibilities include developing technical solutions, managing client relationships, and leveraging IBM's technology platforms to drive business impact.

Sr. Process Analyst Finance & Administration Delivery - Order to Cash

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on digital transformation, hybrid cloud, and AI initiatives. The role involves working with global clients, leveraging agile methodologies and technology platforms, while emphasizing career growth, innovation, and collaborative problem-solving in a supportive environment.

Order to Cash Analyst

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description highlights a role at IBM focused on customer masterdata management, credit handling, and order processing. It emphasizes collaboration, innovation, and problem-solving in a dynamic environment. The position requires technical expertise in finance and ERP systems, along with strong communication and analytical skills. The text portrays the role as impactful and growth-oriented, encouraging candidates to lead in technology-driven solutions.

Senior SAP Consultant – Credit Management & TRM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, leadership opportunities, and career growth through innovative solutions and industry expertise.

Business Transformation Consultant-Finance Analytics

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role as an IBM Consulting Cognos TM1 Developer requiring expertise in ETL processes, Python development, and integration of data pipelines. The position emphasizes collaboration with cross-functional teams and proficiency in Agile methodologies, with qualifications including 8+ years of experience and strong SQL skills.

Data Scientist Intern (16 months, September 2026)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

IBM's Data Scientist internship offers opportunities to work on large-scale systems and AI projects, requiring skills in Python, AI trends, and technical writing. It emphasizes growth and innovation in a collaborative environment.

Procurement

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines the role of a Procurement Specialist at IBM, emphasizing responsibilities such as procuring goods/services, managing vendor relationships, and ensuring audit readiness. It highlights required skills like communication, ERP tools proficiency, and experience in procurement domains, while also mentioning preferred qualifications like a Master's degree and virtual client-facing abilities.

Application Developer

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

This job description outlines a career in IBM Consulting focused on ITSM development and client collaboration. The role involves enhancing ITSM modules, designing workflows, and integrating systems with external tools. Required skills include experience with JIRA, SQL, and programming languages, while the company emphasizes strategic partnerships and technology platforms to drive client impact.

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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