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.

Package Consultant-SAP HANA Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role offers opportunities to work with clients on SAP solutions, focusing on innovation and growth, requiring expertise in SAP Hana Analytics and collaboration skills.

Application Developer-Microsoft .NET

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration, working with clients to advance hybrid cloud and AI solutions. The role emphasizes technical expertise, continuous learning, and impactful problem-solving in a supportive environment.

Governance & Enablement Officer

Company: IBM

Location: Bucharest, RO

Posted Dec 15, 2025

IBM's Marketing Communications and Corporate Social Responsibility team drives innovation and compliance, focusing on AI ethics, data privacy, and governance. The role emphasizes operational excellence, clear communication, and enabling teams through training and policy development.

Delivery Manager (RPO)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This job description outlines the role of an HR Delivery Manager at IBM, emphasizing responsibilities such as strategic planning, team leadership, and customer satisfaction. It highlights required qualifications like a bachelor's degree and 6+ years of experience in staffing or account management, along with skills in project management and interpersonal communication.

SAP SD Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and opportunities for professional growth. It highlights responsibilities involving SAP systems, technical expertise, and cross-industry projects aimed at enhancing business effectiveness.

Infrastructure Specialist-Azure DevOps

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in DevOps, Python, Kubernetes, Docker, and cloud technologies. It specifies educational qualifications and professional experience expectations for candidates.

Application Database Administrator-Oracle Enterprise Applications

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients to deliver high-quality solutions, technical expertise in SAP and Oracle technologies, and requirements for extensive industry experience. The position involves strategic solution development, comprehensive delivery, and proficiency in specific technical skills.

Package Consultant-SAP HANA FIN FSCM

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting focused on SAP implementation, project leadership, and client collaboration, requiring 8-12 years of experience and technical expertise in areas like configuration and testing.

Application Developer - STUDENT CONVERSION

Company: IBM

Location: Ciudad Autónoma De Buenos Aires, AR

Posted Dec 15, 2025

The text describes IBM Consulting's role focusing on innovation, client collaboration, and professional growth opportunities. It emphasizes technical expertise, career development, and working on impactful projects with global clients.

PROCESS DELIVERY SPECIALIST-LEASE AND CONTRACT ADMINISTRATION

Company: IBM

Location: Chennai, IN

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. It emphasizes opportunities for growth, strategic partnerships, and impactful work in hybrid cloud and AI initiatives. The role requires expertise in learning administration, technical skills, and strong communication abilities.

Human Resources Intern - 2026

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM aims to improve the world through technology by solving industry challenges. The role involves HR expertise, collaboration, problem-solving, and a positive attitude.

Package Consultant-Microsoft Dynamics 365 Customer Engagement

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with clients, innovative solutions, and required technical skills in Dynamics 365 and project management.

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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