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.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and innovation. It emphasizes growth opportunities, strategic partnerships, and impactful work with cutting-edge technologies like AI and hybrid cloud solutions.

Salesforce Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a role at IBM Consulting involving technical expertise, innovation, and career growth opportunities. It emphasizes collaboration with clients, hybrid cloud and AI projects, and professional development through training programs.

Entry Level Technical Content Professional 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM seeks Technical Content Professionals to create and curate technical documentation, collaborate with cross-functional teams, and leverage AI for innovative solutions in a growth-oriented environment.

Data Engineer-Data Warehouse

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 09, 2025

This job description outlines a Software Developer role at IBM Consulting, emphasizing work in innovation centers with technical expertise, collaboration with diverse teams, and responsibilities involving data analysis, predictive modeling, and Agile methodologies. It highlights required skills in database management and preferred qualifications like teamwork and communication abilities.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves collaborating with clients on SAP solutions and innovative projects, offering growth opportunities and technical expertise in IBM's consulting environment.

Intern 2026: Quantum Computing Applications Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a job role at IBM Research focused on quantum computing, requiring expertise in quantum algorithms, classical benchmarking, and compiler optimizations. It outlines educational qualifications, technical skills in programming languages like Python and Rust, and experience with quantum frameworks such as Qiskit. The role emphasizes innovation in quantum hardware and software development for real-world applications.

Senior Developer - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a job role at IBM's Client Innovation Center, emphasizing technical expertise, innovation opportunities, and responsibilities involving solution development and system implementation. It highlights required skills in Java, Angular, cloud technologies, and collaboration in agile teams, while promoting diversity and inclusion in the workplace.

EMEA Recruiter

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

IBM emphasizes innovation and collaboration in recruitment. Recruiters manage end-to-end hiring, collaborate with managers, and ensure talent aligns with organizational goals. The role requires experience in tech hiring and strong communication skills.

Oracle Cloud Core HR/Comp Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a role in Oracle Cloud HCM consulting, requiring expertise in configuration, collaboration with clients, and technical leadership. It emphasizes problem-solving, process improvement, and teamwork in a fast-paced environment.

Payroll Practitioner (Japanese Speaker)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a senior consulting role at IBM focusing on innovation, technical expertise, and collaboration with clients. It highlights responsibilities involving process improvement, technical support, and leadership in solving complex business challenges. Requirements include Japanese language proficiency, ERP systems experience, and strong analytical skills.

Consultor(a) SAP EWM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a SAP Consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and responsibilities in SAP EWM AMS support. It details required skills, educational background, and global teamwork expectations.

Application Architect - IBM Technology

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a senior data architecture role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and career growth opportunities. The position requires expertise in modern data platforms, architectural leadership, and compliance with regulatory standards, while promoting a culture of continuous learning and impactful problem-solving.

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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