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.

Application Developer-AWS Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work through strategic partnerships and technology platforms.

Managing Consultant-SAP Billing & Digital Subscription

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting with opportunities for professional growth, collaboration with global clients, and leadership in SAP solutions. The role emphasizes strategic SAP solution leadership, team management, and impactful project delivery while requiring expertise in SAP systems and technologies.

Software Engineer - OpenRAG FullStack

Company: IBM

Location: San Jose, US

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative AI-powered cloud-native solutions at IBM, emphasizing collaboration, growth, and impactful technology development. The role involves building scalable systems and contributing to cutting-edge projects with a focus on customer success and team development.

Client Executive MIN NL Defense / Public Sector

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 09, 2025

IBM's job description emphasizes innovation, collaboration, and solving complex challenges in technology. The role involves business relationship management, sales, and leveraging partner ecosystems. Required qualifications include advanced education and defense industry expertise, with a focus on hybrid cloud and AI domains.

Azure Cloud FullStack - Public Sector/Defence

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers career growth opportunities, extensive training, and a supportive environment for professionals in hybrid cloud and AI. The role emphasizes innovation, collaboration, and technical expertise with Azure cloud services. Benefits include career development, work-life balance initiatives, and diversity programs.

Infrastructure Specialist-Red Hat Platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise in delivering solutions for public and private sector clients. Responsibilities include designing mobile solutions, continuous improvement through agile frameworks, and implementing emerging technologies. Requirements emphasize Kubernetes, OpenShift, Docker, and cluster management skills, with preferred qualifications including advanced degrees and specific industry experience.

Software developer

Company: IBM

Location: Ahmedabad, IN

Posted Dec 09, 2025

IBM seeks a skilled Software Developer to join their innovative team, working on AI-powered cloud-native solutions with opportunities for growth and collaboration. The role involves developing enterprise asset management products using agile methodologies and advanced AI techniques, requiring expertise in Python, machine learning, and large language models.

Growth Marketer Intern (8 months)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job posting highlights IBM's commitment to innovation, continuous learning, and a supportive work environment. The role involves marketing campaigns, leveraging cutting-edge technologies, and collaborating with a global community of learners.

SAP Solution Architect / Senior Consultant

Company: IBM

Location: Praha, CZ

Posted Dec 09, 2025

This text promotes an IBM Consulting career emphasizing global collaboration, innovation in hybrid cloud and AI, and professional growth opportunities. It outlines roles requiring SAP expertise, solution design, and cross-module integration, highlighting a proactive and impactful work environment.

Entry Level Hardware and Systems Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes IBM's hardware engineering roles, highlighting opportunities to design and innovate next-generation compute systems. It outlines responsibilities such as developing mechanical/thermal components, testing prototypes, and collaborating across engineering disciplines. The job requires expertise in CAD tools, programming languages, and materials development, with emphasis on innovation and problem-solving in high-performance systems.

IBM Data Integration & Intelligence Senior Delivery Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an IBM Technology Expert Labs role emphasizing career growth, collaborative innovation, and impactful problem-solving. It highlights world-class services, client-focused teamwork, and professional development opportunities while outlining technical expertise requirements.

Quality Engineer-Automation

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description outlines a role as an Automation Testing Practitioner at IBM Consulting, involving designing testing solutions, automating processes, and requiring technical expertise in Java, Selenium, and Agile methodologies. It emphasizes skills in software testing, continuous delivery, and collaboration with teams.

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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