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.

Package Specialist-SAP Cloud Integration

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in SAP CPI, strong communication skills, and experience with configuration management. Candidates must hold a bachelor's degree and demonstrate analytical abilities, defect resolution skills, and end-to-end project experience.

Package Consultant - SAP HANA Basis

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP HANA systems, and opportunities to drive innovation through hybrid cloud and AI solutions. It highlights responsibilities like system design, performance tuning, and client guidance, along with preferred skills such as German language proficiency.

Technical Support Professional

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 15, 2025

IBM's Technical Support Professional role emphasizes innovation, career growth, and technical expertise. It requires strong communication, problem-solving, and collaboration skills, with opportunities for professional development in cloud and software solutions.

Senior IAM engineer - Saviynt developer

Company: IBM

Location: WROCLAW, PL

Posted Dec 15, 2025

This job description outlines a role as an IAM developer at IBM Security Services, focusing on designing and managing IAM solutions, ensuring security controls, and collaborating in a global team environment with expertise in Saviynt platform and IAM concepts.

Application Developer-Experience Front End

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting, emphasizing long-term client relationships, global collaboration, and innovation in hybrid cloud and AI solutions. It outlines responsibilities involving software development, technical expertise, and working within IBM's delivery centers to drive technological adoption. The role requires advanced technical skills and experience with tools like ReactJS, TypeScript, and Java, while also valuing interpersonal skills and problem-solving abilities.

Package Specialist-SAP SCM MM

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation in hybrid cloud and AI, and professional growth through strategic partnerships and technical expertise.

Project Manager-ADM

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's Client Innovation Centers, focusing on leading SAP projects with expertise in technical implementation, project management, and team leadership. It requires a bachelor's degree, specific technical skills, and experience in managing client relationships and project deliverables.

SAP HANA ABAP Developer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on long-term client relationships and collaboration across industries. It highlights opportunities to work on hybrid cloud and AI initiatives with innovative companies, emphasizing technical expertise in ABAP, HANA, and DevOps tools. The role involves delivering solutions through IBM's global delivery centers and requires specific educational and technical qualifications.

Tester/Validation Analyst - Change Management

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI advancements, and technical expertise in testing tools. The role emphasizes impactful work with strategic partners and robust technology platforms.

Data Engineer-Data Integration

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a Data Engineer role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and career growth opportunities. Responsibilities include ETL support, problem-solving, and data governance, with qualifications focusing on technical expertise and cloud platforms.

Collections Practitioner

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a job role for an Accounts Receivable Collections Specialist, outlining responsibilities such as handling customer transactions, credit management, and dispute resolution. It emphasizes technical skills, teamwork, and meeting business metrics while balancing routine tasks with opportunities to solve complex problems. The role requires experience in finance, ERP systems, and customer relationship management.

Application Developer-Asset Management

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI solutions, and technical expertise. It outlines responsibilities like project management, communication planning, and software development lifecycle participation, along with required skills in IBM Maximo and DevOps practices.

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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