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.

Application Consultant-EAI

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

IBM Consulting offers career growth through client collaboration, hybrid cloud, and AI innovation, emphasizing technical expertise and problem-solving in a supportive environment.

Business Transformation Consultant-HR Reinvention

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This text describes a senior Business Transformation Consultant role at IBM Consulting, emphasizing global client collaboration, hybrid cloud/AI innovation, and career growth opportunities through strategic transformation programs and technology integration.

Data Engineer-Data Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

This job description outlines a role in IBM Consulting's delivery centers focusing on optimizing Ab Initio graphs, collaborating with cross-functional teams, and ensuring efficient data processing for ETL processes. Responsibilities include design reviews, technical expertise, and implementing data quality practices.

IBM Z Mainframe Architect

Company: IBM

Location: SYDNEY, AU

Posted Dec 16, 2025

This text describes a role as an IBM Z Client Architect, emphasizing strategic advisory, client collaboration, and career growth opportunities within a supportive environment. It highlights the importance of technical expertise, solution architecture, and positive impact through IBM's technology.

Junior Data Scientist - Advanced Analytics (f/m/x)

Company: IBM

Location: WIEN, AT

Posted Dec 16, 2025

This text describes a Data Scientist AI Consultant role at IBM Consulting, highlighting opportunities for career growth, collaboration with innovative clients, and access to advanced technologies. It emphasizes a culture of innovation, professional development, and competitive compensation including flexible working hours and a salary of 55,000€ brutto/year.

OpenSearch Engineer

Company: IBM

Location: San Jose, US

Posted Dec 16, 2025

This role involves developing AI PaaS solutions and collaborating with teams to innovate. IBM offers growth opportunities and a focus on cutting-edge technology.

Business Analyst

Company: IBM

Location: BANGKOK, TH

Posted Dec 16, 2025

This role involves collaborating with global clients to enhance hybrid cloud and AI solutions, requiring a bachelor's degree and experience in financial services, with focus on process analysis and optimization.

SAP ABAP HANA Developer

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, technical expertise in SAP HANA, and opportunities for skill development. It highlights responsibilities involving application development, optimization, and DevOps practices, while outlining required and preferred qualifications for the position.

Talent Acquisition Partner

Company: IBM

Location: Tokyo, JP

Posted Dec 16, 2025

IBM HR combines AI and human-centered design to enhance work experiences, streamline processes, and drive innovation through collaboration between hiring managers and recruiters, offering impactful career opportunities globally.

Application Consultant-DevOps

Company: IBM

Location: Giza, EG

Posted Dec 16, 2025

This text describes a career opportunity in IBM Consulting focused on hybrid cloud and AI solutions. It emphasizes collaboration with global clients, strategic partnerships, and advanced technical expertise. The role requires designing CICD pipelines, managing cloud infrastructure, and implementing DevSecOps practices. It highlights opportunities to mentor junior engineers and contribute to innovative projects with industry leaders.

PwD 채용 - Procurement administrator

Company: IBM

Location: Seoul, KR

Posted Dec 16, 2025

This job description highlights IBM's Finance & Operations role as a key driver of transformation and efficiency, emphasizing collaboration, growth opportunities, and a dynamic work environment. Responsibilities include procurement management and administrative support, with requirements focusing on communication skills and document creation abilities.

Data and AI Intern

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

The Sales Intern role at IBM involves data analysis, sales support, and collaboration with technical teams to leverage cutting-edge technologies. The position emphasizes client engagement, competitive research, and translating technical concepts into business value while working in a fast-paced 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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