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 Architect

Company: IBM

Location: Heredia, CR

Posted Dec 15, 2025

The text promotes IBM Consulting as a career opportunity emphasizing collaboration, innovation, and growth. It highlights technical expertise, client impact, and professional development in cloud and AI solutions across global industries.

ServiceNow Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

IBM Consulting offers global client collaboration, hybrid cloud and AI innovation, and professional growth through technical expertise and creative problem-solving. The role emphasizes long-term relationships, strategic partnerships, and career development in a supportive environment.

Package Consultant-Oracle EPM Cloud

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth. It outlines responsibilities like solution development, technical configuration, and Agile methodology, while highlighting required skills in financial modeling, EPBCS configuration, and process design. The role emphasizes impactful work with global clients and continuous improvement.

Technology Project Manager

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job posting highlights IBM's opportunity to work on transformative technologies and prestigious events like The Masters and Wimbledon. The role emphasizes collaboration, innovation, and delivering impactful digital fan experiences through project management and cross-functional teamwork.

Package Consultant-SAP Cloud Integration

Company: IBM

Location: Coimbatore, IN

Posted Dec 15, 2025

This role involves working with clients to enhance hybrid cloud and AI solutions using IBM's technology, requiring expertise in SAP and integration tools.

Application Developer SAP EDI Lead

Company: IBM

Location: Chicago, US

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting requiring expertise in EDI, SAP ECC, and B2B integrations. It emphasizes collaboration with clients on hybrid cloud and AI initiatives, with responsibilities spanning system support, partner onboarding, and project management. Qualifications include 10+ years of EDI experience and proficiency in cloud platforms.

Application Developer-Oracle Cloud UX Development

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise, client collaboration, and solution development. Responsibilities include consulting, project implementation, and ensuring technical compliance. Requirements include specific certifications and experience with Oracle Cloud technologies.

Technical Consultant-AIOps

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role as an AIOps Technical Consultant at IBM, focusing on driving digital transformation through AI and ML techniques. The position involves assessing client infrastructure, implementing AIOps platforms, and optimizing IT operations to enhance reliability and efficiency. Required skills include programming languages, NLU/NLP techniques, and certifications in ITIL/DevOps.

SAP SD Consultant

Company: IBM

Location: Jakarta, ID

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on collaborative client work, strategic SAP solutions, and leadership opportunities. It emphasizes growth, technology integration, and impactful project delivery across global industries.

IT Recruiter (Process Delivery Specialist)

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM Services seeks a Recruitment Specialist with experience in bulk hiring and ATS management. The role involves sourcing, screening, and coordinating candidates globally, emphasizing innovation and excellence through technology-driven methodologies.

Package Consultant-SAP HANA SCM SD

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves collaborating with clients on SAP SD implementations, leading projects, and requiring a bachelor's degree with SAP experience. The position emphasizes technical expertise, system solutions, and working within IBM's ecosystem to drive innovation.

Package Consultant-SAP HANA SCM SD

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for professional growth through strategic partnerships and technology platforms. It highlights a culture of curiosity, creativity, and long-term development in a supportive environment.

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