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.

Intern 2026: Fault-tolerant quantum algorithms

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

IBM Research seeks interns to design quantum algorithms for impactful problems, emphasizing innovation, problem-solving, and real-world applications. The role requires expertise in quantum computing and classical algorithm comparison, with a focus on publishing findings and presenting work in conferences.

Package Consultant-Oracle Enterprise Performance Management Cloud

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description outlines a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth. Responsibilities include solution development, technical configuration, and Agile methodology, with requirements spanning education, technical expertise, and communication skills.

Package Consultant-SAP IS Oil & Gas

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

This role involves collaborating with clients to solve problems using IBM's technology, requiring a bachelor's degree and SAP expertise. The position emphasizes innovation, client relationships, and career growth through strategic consulting and technical implementation.

Senior JVM C/C++ Developer

Company: IBM

Location: Markham, CA

Posted Dec 10, 2025

This job posting highlights opportunities to work on cutting-edge JVM technologies, tackle complex technical challenges, and collaborate with a world-class team. It emphasizes career growth, flexible work arrangements, and the chance to influence Java's future in cloud and AI environments.

Java Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

The text promotes IBM CIC's career opportunities emphasizing growth, learning, and a supportive work environment with benefits like training programs, flexible working, and career development. It highlights collaboration, innovation, and a culture of continuous improvement for Java Engineers.

Application Developer

Company: IBM

Location: Jakarta, ID

Posted Dec 10, 2025

This job description outlines a role in IBM Consulting focusing on application development, open-source integration, and collaboration. Responsibilities include optimizing performance, ensuring security, and contributing to open-source projects. Required skills include experience with various technologies and a bachelor's degree.

Data Engineer-Data Warehouse

Company: IBM

Location: Kochi, IN

Posted Dec 10, 2025

This job description outlines a Data Engineer role at IBM involving innovation, technical expertise, and collaboration. Responsibilities include data analysis, predictive modeling, and working with tools like Spark and Hadoop. The position emphasizes teamwork and communication skills in an Agile environment.

Data Intership Costa Rica

Company: IBM

Location: Heredia, CR

Posted Dec 10, 2025

IBM Consulting offers career growth through client collaboration, innovation in hybrid cloud and AI, and continuous learning opportunities with a focus on technical and professional development.

Senior SAP UI5 Developer

Company: IBM

Location: Giza, EG

Posted Dec 10, 2025

This role involves developing SAP Fiori applications for global clients, utilizing SAP technologies and collaboration with cross-functional teams. Required skills include SAPUI5, OData services, and Agile methodologies.

Senior SCM / TM Consultant

Company: IBM

Location: COPENHAGEN, DK

Posted Dec 10, 2025

This job description highlights a role in IBM Consulting focused on SAP solutions, emphasizing collaboration, client impact, and technical expertise in HANA SCM and TM modules. It outlines career growth opportunities, continuous improvement frameworks, and requirements for experienced consultants with strong problem-solving and communication skills.

Strategy & Operations Business Partner

Company: Stripe

Location: Remote

Posted Dec 09, 2025

Stripe seeks a strategic operations leader to drive growth through cross-functional initiatives, focusing on business reviews, analytics, and impactful programs to scale the company's global impact.

Technology Sales Specialist - Data Platform - ONT Utilities and X Industry

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job description highlights a Technology Sales Specialist role at IBM's Data & AI portfolio, emphasizing opportunities to help enterprises unlock data value through transformative solutions. The position offers a collaborative sales environment with growth-focused culture, requiring expertise in IT sales, client relationship management, and IBM's strategic solutions. Candidates must demonstrate success in enterprise sales, technical knowledge of cloud platforms, and consultative selling skills.

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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