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.

Sr. Consultant, Engagement Manager

Company: IBM

Location: Heredia, CR

Posted Dec 15, 2025

This text promotes an IBM consulting role emphasizing innovation, collaboration, and leadership opportunities. It highlights responsibilities like client management, project execution, and team development, while outlining requirements such as technical expertise and Agile experience. The role is presented as a chance to solve complex problems and contribute to technological advancement.

SAP SCM PP Consultant

Company: IBM

Location: Jakarta, ID

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on collaborative client work, strategic SAP solutions, team leadership, and opportunities for skill development across industries and technologies.

Package Consultant-Oracle Finance Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and strategic partnerships. The role involves technical expertise in Oracle applications, Agile methodologies, and delivering solutions for public/private sector clients. Requirements include extensive experience with Oracle R12, cloud implementations, and specific technical skills, with a preference for advanced education and certifications.

Application Developer-Commerce Transformation

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on client collaboration, innovation in hybrid cloud and AI, and professional growth through Agile environments and technical expertise. It emphasizes opportunities for skill development, industry mastery, and impactful client solutions.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

IBM Consulting offers global career opportunities focusing on hybrid cloud and AI innovation, requiring technical expertise in data platforms and collaboration with clients for impactful solutions.

Application Developer-Microsoft Power Platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI projects. Responsibilities include software development, problem-solving, and Agile learning, with requirements for Microsoft Power Platform expertise and experience in custom app development.

Application Developer-AWS Cloud FullStack

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on building long-term client relationships, leveraging hybrid cloud and AI solutions, and driving innovation through technical expertise. It highlights opportunities to work with industry leaders, contribute to impactful projects, and develop skills in modern technologies like containerization and distributed systems.

Product Security Engineer II - HashiCorp Security

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This role involves contributing to secure HashiCorp products, collaborating with teams, and ensuring cloud security. Required skills include security design, cloud platforms, and threat modeling.

Planning Analyst

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a Supply Chain Planning role at IBM, emphasizing proactive problem-solving, collaboration, and innovation in inventory management. It highlights responsibilities like demand forecasting, inventory optimization, and continuous improvement projects, while showcasing opportunities to lead in technology-driven solutions.

Package Consultant-SuccessFactors Core HR

Company: IBM

Location: Giza, EG

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and impactful HR solutions. It outlines responsibilities involving technical expertise, system configuration, and stakeholder communication, while showcasing opportunities to work with industry leaders and advanced technology platforms.

Package Consultant-Sales & Service

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on client collaboration, hybrid cloud and AI solutions, and delivering technical expertise through global delivery centers. It highlights opportunities to implement CRM systems, work with industry visionaries, and drive innovation using IBM's technology platforms.

Package Specialist-SAP HANA SCM PP

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for professional growth through strategic partnerships and technology platforms. It highlights the role of a senior SAP Consultant in delivering high-quality solutions and driving client success through technical expertise and industry knowledge.

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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