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.

BPOプロジェクトチームリーダー

Company: IBM

Location: Kitakyushu, JP

Posted Dec 09, 2025

This job description highlights IBM Consulting's focus on global client collaboration, innovation in hybrid cloud and AI, and career growth opportunities. It outlines requirements for Japanese language proficiency, team leadership experience, and technical skills in BPO projects across industries like finance and procurement.

Systems Support Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

The text describes an IBM Systems Support Apprentice program emphasizing hands-on learning, mentorship, and career growth opportunities. It highlights the apprenticeship's structured training, credential recognition, and pathways to full-time roles, while outlining requirements like technical skills and educational qualifications. The tone is encouraging, focusing on innovation, collaboration, and professional development.

Stagiaire DevOps - IBM Client Innovation Center - H/F

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM's Client Innovation Center provides innovative services and opportunities for international clients, emphasizing teamwork and cutting-edge projects in a supportive environment.

Technical Architect-Red Hat Platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a Cloud Architect role at IBM Consulting, requiring expertise in Red Hat OpenShift, cloud infrastructure, and certifications. Responsibilities include designing cloud solutions, leading projects, and collaborating with teams. The position emphasizes technical skills in Linux, VMware, and containerization technologies.

Entry Level Technical Support Engineer – Target Process

Company: IBM

Location: Bellevue, US

Posted Dec 09, 2025

This job description outlines a role in IBM Targetprocess's global support team, emphasizing collaboration, customer satisfaction, and technical expertise. The position requires problem-solving skills, cross-functional teamwork, and knowledge of IT environments, with responsibilities spanning customer support, operational management, and relationship building.

Business Analyst

Company: IBM

Location: Singapore, SG

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and professional growth opportunities. It outlines required skills in SDLC, requirements gathering, communication, and adaptability in dynamic environments.

インダストリーコンサルタント(流通・小売領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights opportunities for career growth and innovation in IBM's global client collaborations, emphasizing technological solutions and professional development through partnerships with IBM's technology portfolio.

Application Developer-Asset Management

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation. Responsibilities include leading projects, managing communication, and ensuring technical solutions for clients. Required skills include IBM Maximo experience and Agile practices.

Infrastructure Specialist-System Administration

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in Netscaler VPX deployment, GSLB integration, and load balancing. Responsibilities include teamwork, training, and collaboration skills, with a focus on technical proficiency and infrastructure setup.

Senior Digital Asset Tech Seller (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 09, 2025

This job posting seeks a senior tech sales professional with extensive experience in digital asset infrastructure to lead enterprise presales for IBM's blockchain platform. The role involves technical solution design, client engagement, and collaboration with global sales teams. Requirements include seniority in technical presales, expertise in digital asset custody, and compliance knowledge. The position offers strategic leadership opportunities and competitive compensation.

Senior Sourcing Professional - Technology

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 09, 2025

IBM is seeking a highly motivated individual with strategic sourcing expertise in cloud and token-based AI technologies. The role involves leading procurement initiatives, negotiating complex contracts, and developing global sourcing strategies. Candidates must demonstrate leadership in technology sourcing, with experience in AI governance and procurement innovations. Required qualifications include a bachelor's degree, 10+ years in tech sourcing, and strong analytical skills.

ServiceNow Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Consulting offers roles in hybrid cloud and AI, emphasizing collaboration, innovation, and technical expertise in ServiceNow. The position requires skills in FSM and ServiceNow development, with opportunities for growth and impact.

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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