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.

Technology Sales Leader- Horizon Commercial

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text promotes IBM's Technology Sales Leader role, emphasizing opportunities to innovate, solve complex problems, and drive growth through strategic client partnerships and technology expertise.

Software Developer

Company: IBM

Location: Austin, US

Posted Dec 09, 2025

This job description outlines a cybersecurity engineer role focused on analytics, data exploitation, and container orchestration technologies. The position requires expertise in Big Data tools, cloud environments, and DevSecOps practices to support IBM's cybersecurity operations.

IT Lab Tech - Power Card Apprentice

Company: IBM

Location: ROCHESTER, US

Posted Dec 09, 2025

The text describes an IBM apprenticeship program offering hands-on experience, mentorship, and career growth opportunities. It emphasizes learning electrical engineering skills, working with advanced tools, and contributing to innovative projects. The program requires a high school diploma and some technical knowledge, with a structured 12-month training pathway leading to full-time employment eligibility.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a career role at IBM Consulting emphasizing collaboration, innovation, and professional growth opportunities. It outlines responsibilities in accounting and management, along with educational and experiential requirements for the position.

Data Engineer - Business Intelligence Internship

Company: IBM

Location: Casablanca, MA

Posted Dec 09, 2025

The role involves designing cloud-based data solutions, building scalable data pipelines, creating Power BI dashboards, and collaborating with teams to ensure data governance and analytics excellence.

Delivery Process Innovation Professional

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This text describes a role involving financial process innovation, requiring expertise in managing transactions, analyzing data, and implementing solutions. It outlines responsibilities such as report preparation, budget reconciliation, and ensuring compliance, with educational requirements including a bachelor's degree.

Competitive Strategist

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes IBM's Data Platform as a leading hybrid AI and data solution for enterprises, emphasizing the need for a unified and scalable platform. It outlines a strategic role focused on competitive analysis, market trends, and portfolio direction while highlighting required expertise in data governance, AI lifecycle management, and cross-functional collaboration.

Senior Security Engineer

Company: IBM

Location: Antwerpen, BE

Posted Dec 09, 2025

This job description outlines a Senior Security Engineer role at IBM's Client Innovation Center in Antwerp, emphasizing technical expertise in cybersecurity, collaboration with clients, and requirements such as DevSecOps experience, programming skills, and multilingual proficiency.

SAP FSCM Consultant- TRM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, strategic partnerships, and professional growth opportunities. It highlights roles involving technical expertise, solution design, and impactful client outcomes across industries.

Data Scientist - Process Mining (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for growth through technical expertise and strategic partnerships. It highlights roles involving data science, machine learning, and agile teamwork, along with required skills and educational qualifications.

Application Architect-Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on innovation, collaboration with global clients, and modernizing integration technologies. It highlights opportunities to work on hybrid cloud and AI solutions while emphasizing technical expertise and strategic partnerships.

Technical Agent (Bilingual English & Spanish/French/Italian)

Company: IBM

Location: Cairo, EG

Posted Dec 09, 2025

The text describes an IBM job role emphasizing client support, technical expertise, and career growth opportunities. It outlines responsibilities including end-to-end technical support, communication tasks, and problem resolution, while highlighting required skills like bilingual fluency and teamwork. The tone is professional and forward-looking.

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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