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.

Associate Application Developer - Entry Level (Lansing, MI)

Company: IBM

Location: Lansing, US

Posted Dec 09, 2025

The text promotes IBM Consulting's role offering professional growth, innovation opportunities, and collaboration with global clients. It emphasizes technical expertise, career development, and working on impactful projects with cutting-edge technologies.

Application Developer-Oracle eBS

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI technologies, and career growth opportunities. It highlights responsibilities like feature development, stakeholder collaboration, and continuous learning, along with technical requirements such as Oracle ERP Cloud expertise and Cloud Certification.

Payments Platform Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The role involves leading digital transformation with advanced technologies like cloud, AI, and quantum computing to design scalable, secure payment platforms, ensuring compliance and operational excellence.

Security Specialist-Infrastructure Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a role at IBM Consulting involving technical expertise, cloud engineering, and system infrastructure. It outlines responsibilities, required skills, and educational qualifications for a position focused on innovation, reliability, and data-driven decision-making in a collaborative environment.

Team Leader - Package Specialist SCM SD

Company: IBM

Location: Napoli, IT

Posted Dec 09, 2025

This job description highlights opportunities to work in IBM's innovation centers, collaborate with industry experts, and drive technological innovation. The role emphasizes professional growth, technical expertise in SAP SD, and contributions to hybrid cloud and AI advancements for prominent clients.

Project Manager-Data Platforms

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving data domain projects, team management, and technical expertise in data migration. Requirements include education, project delivery experience, and communication skills in a professional consulting environment.

Entry Level Hardware Developer Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's job description emphasizes innovation, collaboration, and problem-solving in cutting-edge tech. It highlights roles in hardware development, required skills in engineering and programming, and a positive outlook on career growth.

Full-stack Developer / Architect

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

IBM Cloud seeks a full-stack developer to build and improve documentation tools, collaborating with teams on scalable systems. The role requires expertise in React, Node.js, and cloud security, with a focus on innovation and collaboration.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring SAP HANA and S4 HANA expertise, along with technical implementation and testing skills.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP technologies, and requirements for advanced education and experience in specific software development areas.

Software Engineering Manager - HashiCorp InfraGraph

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This text describes a leadership role in IBM's Infrastructure Cloud team, focusing on developing connectors for cloud platforms and fostering a collaborative engineering culture. It highlights opportunities for technical growth, cross-functional collaboration, and impactful contributions to enterprise solutions.

2026 Senior Data Scientist Intern - Corporate Development (M&A)

Company: IBM

Location: New York, US

Posted Dec 09, 2025

This text describes a Data Scientist internship role at IBM, focusing on transforming data into business value through AI and analytics. The position involves collaboration, problem-solving, and working with advanced technologies to drive enterprise performance and innovation.

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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