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.

Promontory Snr Principal

Company: IBM

Location: SYDNEY, AU

Posted Dec 09, 2025

This text describes a Senior Principal role at IBM Promontory Australia, focusing on risk management, regulatory compliance, and client engagement. It outlines responsibilities such as leading projects, managing teams, and providing expert advice. The position requires strong leadership skills and experience in governance, risk management, and regulatory consulting.

Project Manager for Financial Services

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions for innovative companies. It emphasizes collaboration with clients, project management in financial industries, and professional growth opportunities through strategic partnerships and technology platforms.

Engineering Manager, HashiCorp Production Safety

Company: IBM

Location: Austin, US

Posted Dec 09, 2025

This text describes a leadership role in IBM's Production Safety team, focusing on driving strategic vision, ensuring safe platform features, and fostering team growth. It highlights opportunities for collaboration, innovation, and impactful contributions to cloud solutions.

Storage Product Manager (Forecasting & Pricing) - Early career

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This job description outlines a Product Manager role focused on storage business forecasting, pricing strategies, and cross-functional collaboration. It highlights required analytical skills, financial modeling expertise, and collaboration with supply chain and finance teams. The position offers high-impact opportunities in a data-driven environment with growth potential.

SAP Consultant

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and professional growth. It outlines required SAP expertise, analytical skills, and client-facing experience, while emphasizing a culture of evolution and empathy.

Digital Security Managing Consultant

Company: IBM

Location: Riyadh, SA

Posted Dec 09, 2025

The text describes a job role for a Digital Security Managing Consultant focusing on cloud security, IAM, and hybrid/multi-cloud environments. It outlines responsibilities such as assessing security designs, advising clients on transformation roadmaps, and delivering security solutions. Required qualifications include cloud certifications, compliance standards expertise, and extensive experience in security architecture and consulting.

AWSソリューションアーキテクト ※スカイアーチ出向

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description outlines a role as an AWS Solutions Architect at IBM, focusing on designing cloud architectures, collaborating with teams, and leveraging AWS technologies for customer solutions. It emphasizes career growth, technical expertise, and opportunities to work on innovative projects.

SAP Package consultant S/4 HANA SCM MM

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This role involves working with clients to implement SAP MM solutions, configure systems, ensure integration, and provide training, focusing on innovation and technical expertise.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a Big Data Engineer role at IBM Consulting, focusing on data engineering tasks, ETL processes, and Ab Initio expertise. It details responsibilities, required education, and technical skills needed for the position, emphasizing collaboration and data integration solutions.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves financial planning, collaboration with clients, and leveraging technology for career growth in IBM Consulting. It emphasizes process improvement, automation, and strategic decision-making through data-driven insights.

Sr. Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior engineering role at IBM focused on developing cloud-native infrastructure solutions. It highlights collaboration with cross-functional teams, contributions to HashiCorp products, and responsibilities involving system design, quality assurance, and mentorship. The role emphasizes innovation, scalability, and security in cloud environments.

Senior Support Engineer - HashiCorp

Company: IBM

Location: MELBOURNE, AU

Posted Dec 09, 2025

This job description highlights a Senior Support Engineer role at IBM focusing on customer satisfaction, technical expertise, and global collaboration. The position involves troubleshooting HashiCorp products, working with enterprise clients, and contributing to cloud solutions. Requirements include DevOps experience, bilingual fluency, and problem-solving skills.

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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