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.

Technical Product Manager Cloud Pak for Business Automation

Company: IBM

Location: Austin, US

Posted Dec 15, 2025

This job description outlines a Lead Technical Product Manager role for IBM's Cloud Pak for Business Automation, emphasizing strategic leadership, cross-portfolio collaboration, and expertise in AI, DevOps, and product management. Key responsibilities include defining roadmaps, conducting competitive analysis, and fostering Agile teams. Required skills include product management experience, technical knowledge of modern architectures, and financial acumen.

Application Developer-Experience FullStack

Company: IBM

Location: NO City, BR

Posted Dec 15, 2025

This text promotes an IBM Consulting career emphasizing long-term client collaboration, digital transformation through agile methodologies and AI-driven workflows, and opportunities for innovation, career growth, and technical expertise development in a supportive ecosystem.

Talent Acquisition – Selection Specialist (Fixed Term) PH

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description for a Recruiting Selection Specialist at IBM highlights opportunities to lead in technology, solve complex problems, and collaborate with stakeholders. The role emphasizes continuous learning, innovative approaches, and a growth mindset while managing high-volume hiring processes and leveraging data-driven strategies.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, 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, stakeholder engagement, and technical expertise in Java, React, and cloud technologies. The role involves comprehensive software development, continuous learning, and delivering impactful solutions for innovative companies.

Consultor SAP Integration (BTP, CPI)

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP integration, and opportunities to drive innovation through advanced technology platforms.

Application Developer - Experience Fullstack

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This job description outlines a Software Developer role at IBM Consulting, involving work in delivery centers to deliver technical expertise and innovation for clients. Responsibilities include software development, problem-solving, and collaboration, with requirements for specific technical skills and experience.

Systems Performance Analyst

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes IBM's Z Systems and zVM virtualization technology, highlighting its secure and scalable environment for running Linux and other operating systems. It outlines job responsibilities for software engineers, including performance analysis, workload evaluation, and collaboration with global teams. Required skills include Linux expertise, virtualization experience, and performance tuning capabilities.

Application Architect – EHS, Quality & PLM Systems

Company: IBM

Location: San Francisco, US

Posted Dec 15, 2025

This job description outlines an Application Architect role at IBM Consulting, focusing on designing enterprise systems, ensuring compliance with regulations, and collaborating with global clients. The position offers remote work flexibility and emphasizes innovation in hybrid cloud and AI solutions.

Application Developer-Oracle Middleware

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and technical expertise in areas like ODI, Oracle Database Integrator, and API integration. It outlines responsibilities such as feature development, stakeholder collaboration, and continuous learning, along with educational and technical requirements for the position.

WR - C2M Functional Consultant

Company: IBM

Location: Dallas, US

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on collaborative client work, hybrid cloud and AI innovation, and system design expertise. It outlines responsibilities like requirements gathering, gap analysis, and technical configuration while emphasizing strategic partnerships and impactful change.

Mobile Architect

Company: IBM

Location: San Felice, IT

Posted Dec 15, 2025

This role involves developing mobile applications for clients, collaborating with cross-functional teams, and requiring expertise in Flutter, Kotlin/Swift, and UI design. The position emphasizes innovation, performance optimization, and working with global clients through IBM's technology platforms.

Quality Engineer-Data

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, emphasizing technical expertise, team collaboration, training skills, and qualifications such as a bachelor's degree and SQL proficiency.

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.

Related Pages