Ai-Enhanced Technology Jobs

787,119 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 Developer-ServiceNow

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the importance of long-term client relationships, collaboration, and technical expertise. It mentions working in Client Innovation Centers and Delivery Centers to deliver deep technical and industry expertise to clients worldwide. The role requires strong communication, collaboration, and training skills, along with a Bachelor's degree and relevant technical expertise.

Sr. Data Analytics Engineer - HashiCorp

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a Sr Data Analytics Engineer. The role involves developing data models, reports, and dashboards to enable data-driven decision making for business stakeholders. Success is measured by reduced time for self-service insights, high adoption of data products, and reliable data solutions.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves working with clients on digital transformation projects, handling accounting tasks, and requiring experience in R2R processes. IBM Consulting offers growth opportunities and a supportive environment.

Application Developer-SAP ABAP

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys. IBM provides a culture of evolution, empathy, and continuous learning, with opportunities for career growth and development.

Software Development Engineer - HashiCorp Nomad

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on contributing to HashiCorp's offerings now part of IBM. The role involves building and maintaining Nomad, a distributed cluster orchestrator, and working on next-generation distributed systems for orchestration. The position requires expertise in software development, cluster orchestrators, and container technologies.

SAP Solution Architect (Data)

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 04, 2025

The text is a job description for an SAP Data Expert role at IBM Consulting. The role involves managing data migration activities, implementing master data governance solutions, and utilizing batch data communication techniques. The ideal candidate should have a strong background in SAP technologies, data management, and problem-solving skills.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, delivering technical expertise to clients worldwide. Responsibilities include designing and building AWS Cloud services, strong communication skills, and experience with various technologies like Python, Java, Kubernetes, and DevOps tools.

Infrastructure Specialist-Cloud Data Platform Managed Services

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for an experienced Kafka Administrator to join a team and manage enterprise-grade Kafka environments. The role requires expertise in Confluent Platform, Kubernetes/OpenShift, and Kafka security configurations. Responsibilities include administering Kafka clusters, deploying Confluent Platform using CFK, implementing Kafka security, configuring ClusterLink and Replicators, setting up ActivePassive clusters, integrating Confluent Connectors, working with CDC connectors, collaborating with development teams on Python/Spring Boot Kafka applications, utilizing GitHub, GitHub Actions, and ArgoCD for CI/CD and automation, and monitoring and optimizing Kafka performance and reliability.

Contact Center Fresh Graduates

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a customer service role at IBM Consulting. It outlines the responsibilities, required education, and preferred technical and professional experience. The role involves providing quality customer service, handling inquiries, managing cases, and resolving complex issues. The position requires a bachelor's degree, good communication skills, and proficiency in MS Excel.

IBM Financing Pricing (Japanese Speaking)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 04, 2025

The IBM Financing Pricing Team develops and manages pricing strategies for IBM's financing solutions. The role involves collaborating with sales and finance functions to structure competitive, profitable deals while ensuring compliance and supporting FiTTER's mission to protect, manage, and grow IBM's Free Cash Flow. The position requires strong financial and analytical capabilities, Japanese language proficiency, and excellent communication and problem-solving skills.

Senior MERN Cloud Full Stack Developer

Company: IBM

Location: Cairo, EG

Posted Dec 04, 2025

The job description for an Application Developer at IBM highlights the role's responsibilities in full-stack development, cloud integration, API integration, code quality, testing, collaboration, and continuous improvement. The position requires a bachelor's degree and 2-3 years of experience with cloud platforms and frameworks like Node.js and React.

Quantum Systems Test Engineer

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 04, 2025

IBM Quantum is an industry initiative to build universal quantum computers for various applications. The role of a Quantum Systems Test Engineer involves developing and deploying IBM's quantum computing technology, focusing on testing and validating quantum systems, including Quantum Processing Units (QPUs) and related components. The position requires a bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or a related field, along with proficiency in programming languages like Python, Shell, or C/C++. Experience in a laboratory environment, knowledge of electrical test equipment, and strong communication and collaboration skills are essential.

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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