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.

Strategic Account Manager (Hashicorp)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a senior sales role requiring extensive enterprise sales experience, strategic account management, and expertise in SaaS solutions. It outlines responsibilities including client relationship development, revenue generation, and market analysis, along with educational and technical qualifications.

Package Consultant-Salesforce

Company: IBM

Location: Mysore, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for professional growth. It highlights roles in Salesforce consulting, strategic leadership, and technical expertise, while outlining educational and skill requirements for the position.

Package Consultant-Commerce Transformation

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Consulting offers roles in hybrid cloud and AI solutions, emphasizing collaboration, innovation, and growth. Responsibilities include client support, strategic recommendations, and leveraging design thinking. Required skills include technical translation, adaptability, and data analysis.

Talent Acquisition Coordinator

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes an HR Services Administrator role at IBM, focusing on recruiting, staffing, talent processes, and compliance. It outlines responsibilities such as attracting talent, partnering with managers, ensuring business controls, and potential team leadership duties.

Senior Accessibility Technical Lead

Company: IBM

Location: Dublin, IE

Posted Dec 15, 2025

The IBM Carbon Design System aims to provide reusable components for consistent digital experiences. The Senior Technical Lead role focuses on ensuring accessibility compliance and driving inclusive design practices across large-scale ecosystems.

Application Developer-Oracle Cloud UX Development

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves collaborating with global clients on hybrid cloud and AI solutions, working in innovation centers to deliver technical expertise. Responsibilities include solving complex business problems and implementing HCM Cloud projects with required technical skills.

Security Specialist - Operations Desk

Company: IBM

Location: HORTOLANDIA, BR

Posted Dec 15, 2025

This job description outlines the role of an IBM Security Operations Center SOC Analyst, detailing responsibilities such as providing IT security services, performing technical tasks, and collaborating with client teams. It specifies required qualifications, work hours, and preferred experience in technical and customer-facing roles.

Selection Specialist

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This text describes IBM's recruitment role emphasizing innovation, problem-solving, and collaboration. It highlights responsibilities like managing recruitment processes, sourcing candidates, and ensuring positive candidate experiences while showcasing the company's mission to drive technological advancements.

SAP Application Architect

Company: IBM

Location: Jakarta, ID

Posted Dec 15, 2025

The job description outlines an SAP ABAP Architect role at IBM Consulting, focusing on technical design, collaboration with clients, and modernization projects. Required expertise includes SAP ABAP, BPA, and AI tools, with preferred experience in S4HANA and cloud technologies.

Application Consultant-Azure Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Consulting offers career growth through client collaboration, cloud/AI solutions, and innovative tools. The role emphasizes technical expertise and long-term development in a supportive environment.

Application Developer-Microsoft Dynamics 365 Finance & Operations

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves working with global clients to enhance hybrid cloud and AI solutions using IBM's technology. It requires expertise in X++/C, technical design, and integration tools like REST/SOAP.

Application Developer-2025 graduates

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, career growth opportunities, and the use of advanced technologies to drive impactful solutions.

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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