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-Commerce Transformation (Magento)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical expertise in Adobe Commerce, SQL Server, and DevOps tools. It outlines role responsibilities and educational requirements for the position.

Package Consultant-SAP Cloud Integration

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This job description outlines an SAP Consultant role at IBM Consulting, emphasizing collaboration on innovative projects, skill development, and global customer success. Responsibilities include leading SAP solutions, integrating technologies, and working with cross-functional teams. Requirements highlight expertise in SAP integration and cloud platforms, with preferred qualifications in Agile methodologies and project management.

Application Database Administrator-RDBMS

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise, innovation in technology adoption, and responsibilities such as designing mobile solutions and continuous improvement through agile frameworks. Required skills include DB2 administration, Linux/AIX knowledge, and database performance optimization.

ServiceNow Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

IBM Consulting offers global client collaboration and innovation opportunities, focusing on hybrid cloud and AI solutions with a culture of growth and technical expertise.

Semiconductor Packaging – Mechanical Modeler

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The role involves designing high-performance server hardware systems, collaborating across disciplines, and using simulation tools. Required qualifications include a Master's in Mechanical Engineering and experience with FEA and CAD software.

Package Specialist-SAP HANA Basis

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting's Client Innovation Centers, requiring technical expertise in SAP upgrades, database migrations, and system monitoring. It specifies educational qualifications, professional experience, and preferred certifications for senior consulting positions.

Business Transformation Consultant - Commerce Transformation

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a Consultant role at IBM Consulting focused on customer and commerce transformation, emphasizing strategic programs, digital innovation, and cross-functional collaboration. It highlights responsibilities like designing customer journeys, assessing platform maturity, and delivering scalable solutions while requiring expertise in commerce platforms and agile methodologies.

Data Engineer

Company: IBM

Location: Heredia, CR

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth opportunities. The role requires data engineering expertise and involves working with advanced technologies to deliver impactful results.

Package Consultant - SuccessFactors Core HR

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

IBM Consulting offers roles focused on client collaboration, innovation in hybrid cloud and AI, and career growth through technical expertise and strategic problem-solving.

Selection Specialist

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This job description highlights IBM's mission-driven approach to work, emphasizing innovation, problem-solving, and collaboration. It outlines a role focused on talent acquisition, candidate management, and employer branding, with requirements including experience in recruitment, ATS proficiency, and diversity initiatives. The text promotes a dynamic and impactful career opportunity within a tech-forward organization.

Business Transformation Consultant-IoT & PLM

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This job description outlines a role in IBM's delivery centers focusing on ARAS PLM development, requiring technical expertise in configuration, customization, and integration. It specifies educational qualifications, preferred skills in PLM domains, and experience with SQL Server and REST/SOAP technologies.

Internship: Developer Java & Web

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This text promotes an internship at IBM Consulting, highlighting opportunities for career growth, technical expertise, and professional development through collaborative projects and mentorship programs.

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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