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.

Federal Enterprise Account Manager- Strategic Accounts (DC Metro)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This text describes a job role for an Enterprise Account Manager requiring sales expertise in enterprise accounts, collaboration with partners like IBM and RedHat, and experience in specific government sectors. It outlines responsibilities such as pipeline generation, customer adoption, and strategic sales, along with educational and technical requirements.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This role involves collaborating with clients on SAP FI implementations, driving innovation through technical expertise and project management, with opportunities for career growth in IBM's global consulting ecosystem.

Package Specialist-SAP HANA FIN CO

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting involving technical expertise in SAP systems, responsibilities such as system configuration, issue resolution, and testing, along with requirements for a bachelor's degree and experience in SAP projects.

Product Manager

Company: IBM

Location: Kochi, IN

Posted Dec 15, 2025

Turbonomic's automation platform helps IT organizations transform by enabling full-stack automation for application performance and policy compliance. The role of a Technical Product Manager involves driving growth strategies, designing freemium offerings, and collaborating across teams to solve enterprise IT challenges.

Product Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job posting highlights a Product Management role at IBM Cloud, emphasizing collaboration, innovation, and growth opportunities. It outlines responsibilities, required skills, and a positive outlook for candidates interested in technology and leadership.

Application Developer-Microsoft Middleware

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, focusing on hybrid cloud and AI solutions. It outlines responsibilities like software development, integration tasks, and collaboration with clients. Required skills include SAP BTP, Microsoft BizTalk, and cloud platform expertise, with preferred experience in SAP HANA Cloud and API testing tools.

Package Consultant-SAP HANA FIN FICA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on long-term client relationships and collaboration with global innovators. It highlights opportunities to work on hybrid cloud and AI projects, with responsibilities including SAP FICA implementation and project leadership. Required qualifications emphasize technical expertise in SAP Hana and experience with configuration, testing, and post-go-live support.

Procurement Professional

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Procurement Professional role at IBM with responsibilities including sourcing goods/services, managing vendor relationships, and ensuring compliance. It emphasizes collaboration, problem-solving, and technical skills in ERP tools, while highlighting opportunities to innovate and contribute to impactful projects.

Package Specialist-Oracle Business Analytics

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and the role of a consultant as a trusted advisor. It outlines responsibilities, required skills, and career growth opportunities within IBM's ecosystem.

Application Developer-Azure Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, hybrid cloud and AI innovation, and technical expertise in full-stack development with Azure and cloud-native technologies.

Quality Engineer-FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves working with clients on hybrid cloud and AI projects, requiring expertise in testing and automation tools. It offers opportunities for innovation and collaboration with global teams.

Application Developer-SAP Enterprise Integration

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration, emphasizing client relationships, technical expertise, and professional growth through strategic projects and global partnerships.

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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