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-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves collaborating with visionaries across industries, using best practice technologies and tools to develop customized systems. Required skills include proficiency in Java Spring Framework, Spring Boot, RESTful APIs, OOP design patterns, ORM tools, and microservices.

Senior Salesforce Developer - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like training programs, career growth, work-life balance, and a supportive work environment. It emphasizes innovation, professional development, and inclusive culture while outlining requirements for a Senior Salesforce Developer role.

Engenheiro(a) de Dados – Modelagem de Dados

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career at IBM Consulting, focusing on long-term relationships and close collaboration with clients worldwide. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys for innovative companies. The position requires curiosity, continuous learning, and the ability to challenge norms, present creative solutions, and drive innovative impact. The company culture emphasizes long-term professional growth, development opportunities, and valuing unique skills and experience.

Package Consultant-Workday Recruiting

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. Responsibilities include building, automating, and releasing solutions based on client requirements, ensuring integration solutions meet specifications and are delivered on time. Required education is a Bachelor's degree, with a Master's degree preferred. Required technical expertise includes Workday HCM certification, certification in Recruiting, and experience in leading workshops for WD Recruitment modules. Preferred technical expertise includes proficiency in Core HCM and advanced reporting in Workday, strong analytical skills, and excellent oral, written, and interpersonal skills.

Infrastructure Specialist-Azure Platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The job role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. The role focuses on identifying and fixing business problems, improving services, troubleshooting technical issues, and requires expertise in Azure IAAS, PASS, and SAAS services, containerization, and security management.

Application Developer-Microsoft Analytics

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships and collaboration across industries. The role of an Infrastructure Specialist involves supporting infrastructure for various sectors, requiring expertise in Microsoft technologies, SQL, DAX, and Azure. Preferred experience includes C#, PowerShell, and knowledge of DENEB, Vega, and JSON.

Software Developer - Web Developer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 04, 2025

The text is a job description for a Senior Web Developer position at IBM Software. The role involves building and enhancing the Admin UI for the ContextForge gateway proxy and registry using HTMX, Alpine.js, and TypeScript. The position requires experience in frontend development, server-driven UI patterns, and UI/UX design. Testing and quality assurance are also important aspects of the role.

SAP HANA SCM EWM Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Brand Technical Specialist. The role involves developing client strategies, defining IBM Cloud solutions, creating proof of concepts, and building relationships with stakeholders. The ideal candidate should have deep expertise in Extended Warehouse Management (EWM) and experience in system customizing, RFUI configuration, and integration with other SAP modules.

Entry Level QA/Test Developer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a QATest Developer role at IBM. It outlines the responsibilities, required education, and technical expertise needed for the position. The role involves working with client-server architectures, networking protocols, application development, databases, and creating APIs. The position requires knowledge of Agile and Cloud devOps development methodologies, as well as experience with various programming languages and tools.

Application Developer-Open Source

Company: IBM

Location: Mysore, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on managing and developing C++ applications. It highlights the importance of technical expertise, problem-solving skills, and communication abilities. The role involves working with clients globally and delivering innovative solutions using IBM's technology platforms.

Domain Trainer - Learning

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a Service Delivery Management role at IBM Consulting. It outlines the responsibilities, required education, and technical expertise for the position. The role involves ensuring service level agreements are met, managing team performance, documenting processes, conducting team meetings, managing volumes, handling escalations, ensuring business controls, resolving issues, providing training, maintaining backup systems, conducting quality assurance reviews, identifying process improvements, managing change, financial management, and more. The position requires a bachelor's degree and experience with an LMS tool and trainer education background.

Senior Solutions Engineer (HashiCorp)

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, specifically in the Solutions Engineering team at HashiCorp. The role involves serving as a trusted advisor to customers, helping them achieve their business outcomes by leveraging HashiCorp's platform capabilities. The position requires strong technical expertise, communication skills, and the ability to collaborate with cross-functional teams.

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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