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: Chennai, IN

Posted Dec 17, 2025

This job description outlines a Process Analyst role at IBM Consulting, emphasizing collaboration with global clients, digital transformation using AI and cloud technologies, and career growth opportunities. Responsibilities include invoice processing, vendor management, and compliance with SLAs, requiring a bachelor's degree and 24+ years of Accounts Payable experience.

AI Developer - Experienced

Company: IBM

Location: Kochi, IN

Posted Dec 17, 2025

This job posting describes a role in Kochi India focused on AI and data engineering for digital transformation. Responsibilities include building AI agents, developing data pipelines, and collaborating globally. Required skills involve Python, SQL, and data pipeline experience. The position offers opportunities to impact business outcomes through innovative solutions.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

The text describes a career role at IBM Consulting emphasizing collaboration, innovation, and professional growth opportunities. It outlines responsibilities in Accounts Payable processes, required education, and skills needed for the position, highlighting supportive environments and technological advancements.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work. Responsibilities include software development, stakeholder collaboration, and continuous learning, with requirements spanning Java, React, and database experience.

Package Consultant-SAP Ariba SLP

Company: IBM

Location: KARACHI, PK

Posted Dec 17, 2025

The text outlines job responsibilities related to customer needs analysis, solution design, and sales support. It details required education, technical expertise, and preferred skills such as business process development and quantitative analysis. The role emphasizes collaboration, client relationship building, and staying updated with procurement solutions.

iPO Category Manager

Company: IBM

Location: Guangzhou, CN

Posted Dec 17, 2025

This text describes a job role at IBM Finance & Operations, outlining responsibilities such as sourcing management, supplier negotiations, and strategic procurement. It lists required education and skills, emphasizing analytical abilities, communication, and bilingual proficiency.

SAP BTL Lead

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

IBM Consulting offers career opportunities focused on client relationships, hybrid cloud, and AI innovation. The culture emphasizes growth, collaboration, and technical expertise in roles like Application Developer and Security Administrator.

Data Engineer - Data Platforms - Azure

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This job description outlines a Data Engineer role focused on building scalable data platforms on Microsoft Azure, designing ETL pipelines, and developing analytics solutions. The position requires expertise in Azure tools, SQL, Power BI, and data governance, with opportunities to collaborate across industries and deliver impactful cloud-native solutions.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 17, 2025

IBM Consulting offers a career focused on AI and analytics, emphasizing innovation, client collaboration, and professional growth through advanced technologies and strategic partnerships.

Technical Support engineer - PLM QM

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 17, 2025

IBM Consulting offers global collaboration opportunities with innovative clients. The role involves SAP HANA SCM QM consulting, requiring a bachelor's degree and technical expertise in quality management processes.

Microsoft Dynamics 365 CE - Developer

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

This role involves developing CRM solutions and collaborating with teams to enhance client projects, requiring expertise in Dynamics 365 and Power Platform.

External Relations Professional

Company: IBM

Location: Multiple Cities

Posted Dec 17, 2025

IBM promotes a positive vision of technology shaping the world through innovation and collaboration. The text highlights corporate responsibility, digital transformation, and opportunities for impactful work in a supportive culture. Job roles emphasize strategic communications, media relations, and driving market leadership through creative storytelling and cross-functional teamwork.

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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