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-Hybrid Cloud Manage

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the company's global presence, collaboration with clients, and focus on hybrid cloud and AI. The role involves working in Client Innovation Centers and Delivery Centers, requiring strong teamwork, communication, and technical skills, particularly in Hadoop, ETL, and ALM. Prior experience in Agile environments and collaboration with automation and manual testers is preferred.

Data Engineer with DBT

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for a Data Engineer role at IBM Consulting, focusing on designing, building, and maintaining large-scale data systems. The role involves working with cross-functional teams, developing data pipelines, and collaborating with stakeholders. Required skills include proficiency in Python, experience with DBT and Snowflake, and knowledge of Data Vault 2.0 data modeling principles.

Application Developer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as an Application Developer for Federal clients. The position involves designing, developing, and implementing Maximo applications, collaborating with multidisciplinary teams, and optimizing system performance. The role requires a strong technical background, experience with IBM Maximo, and the ability to obtain a Federal security clearance.

AI Engineer – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM's Client Engineering team is evolving its approach to technology sales by focusing on innovative solutions, collaboration, and client engagement. The AI Engineer role involves developing and deploying AI systems using the WatsonX platform, with a focus on pre and post-sales pilots, solution optimization, collaboration, and staying up-to-date with industry trends.

Senior Data Scientist - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients to develop transformative solutions using AI, hybrid cloud, and data analytics. It highlights the role of a Senior Data Scientist in the public sector, emphasizing the importance of data analysis, strategy development, and collaboration with clients and teams.

Infrastructure Specialist - AWS

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on hybrid cloud and AI solutions for clients worldwide. It highlights the company's emphasis on long-term relationships, collaboration, and continuous learning. The role involves cloud transformation, system design, and implementation across various environments, with a preference for candidates with relevant technical expertise and experience.

(IJDS DXセンター) Application Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This is a Japanese-speaking role located in Japan, working on large-scale projects across various industries. The role involves all phases of project development, from requirements definition to post-release testing and operation. Experience in Java, web application development, server-side development, cloud-native application development, and mobile application development is preferred.

Package Consultant-SAP IS Utilities

Company: IBM

Location: Ahmedabad, IN

Posted Dec 04, 2025

The job description outlines the role of an SAP ISU Consultant at IBM Consulting, focusing on designing, building, and configuring applications to meet business requirements in the utilities industry. The role involves working in client innovation centers, collaborating with clients globally, and demonstrating expertise in SAP ISU modules, billing, device management, and problem-solving.

Data Engineer-Data Platforms-Google

Company: IBM

Location: Kochi, 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. The position requires skills in multiple GCP services, Python, SQL, and the ability to analyze data for functional business requirements. A collaborative, proactive, and ambitious individual with 5-7 years of relevant experience is preferred.

Entry Level Product Manager 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a cross-portfolio Product Manager role at IBM. It highlights the responsibilities, required skills, and qualifications for the position. The role involves collaborating with various teams, supporting product teams, analyzing market trends, and driving efficiency in product management processes.

Financial Analyst (Mandarin / Japanese Bilingual)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 04, 2025

The text is a job description for a Business Planning Analyst role at IBM Malaysia. It highlights the responsibilities, required skills, and qualifications for the position, emphasizing the importance of financial analysis, collaboration, and strategic decision-making.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role is a Project Manager position at IBM Consulting Client Innovation Centers Delivery Centers in India. The role requires expertise in project management, functional/technical expertise, and relationship management. The position requires a Bachelors or Masters degree, 17+ years of experience in SAP, and PMP/ITIL certification. The role involves managing complex projects, developing relationships with stakeholders, and working with Indian clients.

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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