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.

Cloud Platform Software Engineer - Langflow

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative AI-powered cloud-native solutions at IBM, emphasizing collaboration, growth, and technical challenges. The role involves developing scalable systems and contributing to open-source projects, with a focus on high-performance infrastructure and customer-centric outcomes.

SAP ABAP Developer

Company: IBM

Location: Islamabad, PK

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on collaborating with global clients to enhance hybrid cloud and AI solutions. The role involves designing SAP applications, integrating systems, and maintaining technology platforms. Required skills include SAP ABAP development, HANA integration, and stakeholder management.

AIコンサルタント(製造領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights opportunities to work with IBM's technology portfolio, drive hybrid cloud and AI innovations, and collaborate with global clients in manufacturing sectors. The role emphasizes creative solutions, career growth, and leveraging expertise in IT systems and industry-specific knowledge.

Application Developer-Open Source

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to work on impactful projects. It outlines role responsibilities, technical expertise requirements, and preferred qualifications for an Associate Software Developer position.

System Services Representatives - 초대졸 신입사원

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines the role of IBM TLS Systems Services Representatives, requiring technical expertise in hardware/software support, client communication, and continuous learning. Responsibilities include onsite maintenance, problem resolution, and ensuring client satisfaction through collaboration with teams and adherence to technical strategies.

Lead Logic Design Engineer - Core Units Front end platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a Hardware Engineer role at IBM Systems Lab involving design and development of high-performance processors, working with elite teams, and requiring expertise in CPU architecture, RTL design, and silicon bring-up experience.

Process Associate - Insurance Claims

Company: IBM

Location: Noida, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration, innovation, and growth opportunities. It highlights roles in digital transformation, hybrid cloud, and AI, along with requirements for analytical skills and technical expertise.

Data Scientist - STUDENT CONVERSION

Company: IBM

Location: RIO DE JANEIRO, BR

Posted Dec 09, 2025

The text promotes IBM Consulting's associate program for new graduates, emphasizing professional development, global opportunities, collaboration with clients, and innovation in technology solutions. It highlights career growth, technical expertise, and a culture of continuous learning and problem-solving.

(Kaohsiung) Technical Support Representative-Hybrid Cloud Services

Company: IBM

Location: Kaohsiung, TW

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, innovation in hybrid cloud and AI, and a supportive culture emphasizing growth and empathy. It highlights problem-solving responsibilities and required skills for IT support roles with opportunities for impactful work.

Manager - Finance and Administration Delivery - Record to Report

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and professional growth. It emphasizes roles in financial operations, process improvement, and leadership development within a supportive ecosystem of mentors and technology platforms.

Data Engineer - Entry Level (Baton Rouge, LA)

Company: IBM

Location: BATON ROUGE, US

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Program, emphasizing professional growth, global collaboration, and innovation opportunities. It highlights career development through mentorship, technical skills, and working with diverse clients. The role focuses on data engineering, predictive modeling, and leveraging technology to drive impactful solutions for clients.

Application Consultant-Banking

Company: IBM

Location: Taipei, TW

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, opportunities for professional growth, and the ability to solve complex business challenges through innovative solutions and technology expertise.

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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