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.

Data Scientist - Generative AI

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on designing and implementing Generative AI solutions, emphasizing collaboration with clients, technical expertise in hybrid cloud and AI, and long-term career growth opportunities. The role requires experience in AI architecture, stakeholder management, and technical stacks like AWS, Azure, and WatsonX, while promoting innovation and impactful client outcomes.

Process Functional Consultant and Solution Architect - SAP Master Data Governance

Company: IBM

Location: Riyadh, SA

Posted Dec 09, 2025

This text describes a senior-level SAP Master Data Governance role with opportunities to lead complex projects, collaborate with global clients, and leverage IBM's technology platforms. It emphasizes technical expertise, leadership skills, and career growth in a strategic consulting environment.

Transition Manager

Company: IBM

Location: New York, US

Posted Dec 09, 2025

This role involves leading global transition projects, collaborating with clients on hybrid cloud and AI initiatives, and managing complex transitions with strong communication and technical expertise.

SAP SD Lead | Projeto SAP S/4HANA

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, professional growth opportunities, and technical expertise in SAP implementations. It highlights a supportive work environment with global delivery centers and emphasizes curiosity, innovation, and long-term career development.

Product Owner with technical background (f/m/x)

Company: IBM

Location: Guemligen, CH

Posted Dec 09, 2025

This text describes a technical consulting role at IBM with opportunities for career growth, collaboration with global clients, and technical expertise in areas like Java, Angular, and SAFe methodology. It highlights benefits such as training, certification programs, and work on innovative projects involving Swiss social insurance systems.

Workday Payroll Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job involves configuring Workday Payroll, integrating systems, and ensuring compliance. Requirements include a bachelor's degree and 5-7 years of payroll experience.

SAP S/4HANA HCM Senior Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on collaboration, innovation, and impactful client solutions. It highlights opportunities to work with industry leaders, leverage technology platforms, and drive growth through strategic partnerships and technical expertise.

Senior Customer Success Engineer

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

This job description highlights a career at IBM Software focusing on customer success engineering, technical expertise, and cloud solutions. The role involves supporting customers with HashiCorp tools, driving adoption, and ensuring efficient cloud implementations. Requirements include technical proficiency, bilingual skills, and experience with DevOps tools.

金融業界向け PM

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 opportunities for impactful client work and career development.

Spark Cluster Admin

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a role in IBM's Technology Expert Labs focusing on Spark cluster administration and data platform development. It emphasizes collaboration, career growth, and technical expertise in technologies like Apache Spark, Iceberg, and OpenShift. The position offers opportunities for impactful work and professional advancement within a supportive culture.

SAP S/4HANA Infrastructure Lead (BASIS)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The job description outlines a role in IBM Consulting focusing on SAP S4HANA infrastructure, emphasizing collaboration, innovation, and technical expertise. It highlights career growth opportunities and required qualifications for senior-level positions involving cloud and on-premise SAP implementations.

Treasury Settlements Trade Officer

Company: IBM

Location: Dublin, IE

Posted Dec 09, 2025

This job description outlines the role of a Settlements Trade Officer in IBM's Treasury Centre, detailing responsibilities such as financial transaction management, process optimization, bank account reconciliation, and compliance. It specifies required skills, technical expertise, and collaboration with global 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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