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.

SAP Data Lead

Company: IBM

Location: No City, US

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Data Migration Lead in IBM Consulting. It highlights the importance of data migration in SAP projects and outlines the key tasks involved, such as project planning, data assessment, stakeholder collaboration, technical execution, testing, documentation, training, compliance, continuous improvement, and leadership. The position requires a bachelor's degree, experience in identifying and solving complex business problems, collaborating with data owners and analysts, working with data architects, and leading technical aspects of SAP Business Intelligence solutions. Preferred experience includes working with specific SAP modules and having expertise in SAP Master Data Governance.

Application Developer-Cloud FullStack

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to develop cloud-based applications using advanced technologies. It outlines role responsibilities, required skills, and preferred experiences in areas like Spring Boot, RESTful APIs, and DevOps methodologies.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Analyst in the Order to Cash (O2C) domain. The role involves processing accounts receivable, preparing journal entries, reconciling accounts, and meeting client service level agreements. The position requires a bachelor's degree, preferably a master's degree, and experience in enhancing cash application automation and reducing complexity in assigned accounts.

Package Consultant-SAP HANA FIN TR

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on SAP FIN TR modules. It highlights the role's responsibilities, required education, and technical expertise. The position involves working with clients globally, delivering technical expertise, and driving innovation.

.Net Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, opportunities for learning and growth, and the role of an Application Developer with expertise in Microsoft technologies.

Vendor Risk Management Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM's procurement role emphasizes innovation, digital transformation, and collaboration with clients. The position requires managing compliance, communication, and process optimization while leveraging AI and emerging technologies in a dynamic environment.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves accounting responsibilities with clients, emphasizing collaboration and career growth opportunities at IBM Consulting.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a Senior Lead ML Data Scientist role at IBM Consulting, focusing on end-to-end ML/AI initiatives using the Databricks ML ecosystem and generative AI. The role involves solutioning, presales engagement, delivery execution, GenAI workloads, MLOps governance, and leadership collaboration.

Backend Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet clients' demands. The role of a Backend Developer involves leading problem resolution, collaborating with teams, and designing automation tools. Required skills include software development expertise, Linux experience, and problem-solving abilities.

Ecosystem Engineer Intern

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is looking for a passionate Ecosystem Engineer Intern to build integrations and sample applications connecting IBM's AI technologies with popular developer tools. The role involves collaborating with teams, engaging with communities, and gaining hands-on experience in ecosystem engineering and developer enablement.

IBM Uruguay Students Program

Company: IBM

Location: MONTEVIDEO, UY

Posted Dec 04, 2025

The text is an introduction to IBM's internship program, highlighting the company's focus on innovation, collaboration, and tackling challenging problems. It outlines the roles and responsibilities of interns, required education, and preferred technical and professional expertise.

SAP ABAP Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

This role involves working as a senior SAP ABAP Developer in IBM Consulting, collaborating with clients to deliver high-quality solutions and act as a trusted business advisor. The position requires expertise in SAP configuration, process knowledge, and experience with SAP S4HANA. Familiarity with cloud computing platforms, Agile methodologies, and industry knowledge are also preferred.

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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