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.

金融業界向け Application Architect

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

IBM Consulting offers roles in hybrid cloud and AI projects, emphasizing collaboration, innovation, and professional growth with clients globally. The position involves managing IT projects, ensuring quality delivery, and leveraging technology platforms to drive digital transformation for financial industry clients.

Lead Network Software Engineer

Company: IBM

Location: Sofia, BG

Posted Dec 09, 2025

IBM seeks a Lead Network Software Engineer to drive innovation in network automation and AI integration, emphasizing collaboration and cutting-edge solutions. The role involves mentoring teams, developing automation tools, and working with industry-leading technologies while contributing to global projects.

Business Transformation Consultant - Asset Management

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Consulting's career opportunities, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and professional growth through technology platforms and strategic partnerships.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving cloud application development, technical leadership, and expertise in AWS, Java, and container technologies. It specifies educational requirements and preferred skills for developers working on client projects.

Backend Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Backend Developer role at IBM's Z Hyper Protect Servers team, focusing on innovative solutions, agile development, and collaboration with customers. Required skills include Linux, Python, Golang, and cloud technologies, with a strong emphasis on quality and teamwork.

Software engineer (With focus on Testing)

Company: IBM

Location: Brno, CZ

Posted Dec 09, 2025

The text promotes IBM's Software career opportunities, emphasizing innovation, collaboration, and growth. It highlights roles in developing high-quality software solutions, working with advanced technologies, and contributing to leading AI-powered cloud-native products. The job description focuses on teamwork, rigorous quality standards, and technical expertise in testing and development.

Full Stack Developer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

This job description outlines a role focused on developing platform features, collaborating with cross-functional teams, and maintaining technical documentation. It requires expertise in React, TypeScript, Node.js, and cloud technologies, with experience in Agile methodologies and AI-assisted development.

Master@IBM: Hardware Verification (f/m/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 09, 2025

The text promotes IBM's MasterIBM study&work program, highlighting opportunities to combine a Master's degree with hands-on experience at IBM, financial support, career growth, and innovative project topics like AI-driven project management and cloud-based simulations.

Digital Technical Specialist – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's job posting highlights opportunities to collaborate on innovative solutions, leverage technical expertise, and contribute to impactful projects. The role emphasizes growth, client success, and a supportive environment with comprehensive training. It positions the Digital Technical Specialist as a key player in driving technological advancements and building strong client relationships.

Application Consultant - ServiceNow

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and comprehensive benefits including training programs, flexible working arrangements, and career development resources. The role emphasizes innovation, client collaboration, and technical expertise in ServiceNow implementations.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Noida, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP systems, and opportunities to drive innovation in hybrid cloud and AI solutions. It outlines role responsibilities, required education, and technical skills needed for the position.

AI Application Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovative systems design, and expertise in data architecture. It outlines required skills in cloud platforms, machine learning, and generative AI, highlighting opportunities for impactful work with global 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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