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.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a consultant role at IBM Consulting, focusing on delivering technical expertise to clients through innovation and technology adoption. Responsibilities include developing solutions for user experience, performance, and scalability, while meeting client specifications. Requirements include a bachelor's degree, Oracle Cloud experience, and technical skills in integration and reporting.

Package Consultant-Workday Recruiting

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise, and opportunities to drive innovation through hybrid cloud and AI solutions. It outlines role responsibilities, required qualifications, and preferred skills for a specialized consulting position.

Designer - Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an IBM internship opportunity emphasizing career growth, innovation, and collaboration in creating AI-powered cloud-native solutions. It highlights required skills like UI design, problem-solving, and communication, while showcasing a dynamic and supportive work environment.

Application Developer-Open Source

Company: IBM

Location: Cebu, PH

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and open-source development. It outlines responsibilities, required skills, and work environments for software developers in IBM's delivery centers.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves working with clients to innovate and solve business challenges using IBM's technologies, emphasizing collaboration, continuous improvement, and expertise in Oracle Cloud solutions.

Senior Application Developer

Company: IBM

Location: Ottawa, CA

Posted Dec 09, 2025

This job posting outlines a Senior Application Developer role at IBM in Ottawa, requiring 8 years of programming experience, Defence Industry expertise, and specific clearances. The position involves technical support, system integration, and collaboration with clients globally.

Data Scientist - Public Sector

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM CIC's career opportunities emphasizing growth, innovation, and benefits like training programs, career development, work-life balance, and cutting-edge AI projects. It highlights a supportive culture, mentorship, and global client impact while outlining technical requirements for a Senior Data Scientist role.

Application Developer-RDBMS

Company: IBM

Location: Mysore, IN

Posted Dec 09, 2025

The text promotes an IBM Consulting career emphasizing global impact, innovation, and professional growth. It highlights opportunities to work with industry leaders, leverage technology platforms, and contribute to transformative projects. The role offers collaboration, technical expertise, and career development, with a focus on agile environments and problem-solving.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The text describes a Data Engineer role at IBM Consulting, emphasizing technical expertise in big data technologies like Spark, Hadoop, and Azure cloud platforms. It outlines responsibilities involving data pipeline development, streaming solutions, and cloud ecosystem components. Required qualifications include a bachelor's degree, 4+ years of big data experience, and proficiency in tools such as DataBricks and SQL.

Appian Architect/Senior Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and opportunities to drive innovation. The role requires expertise in Appian development, integration technologies, and Agile methodologies, with a strong emphasis on security and performance optimization.

Software Engineering Manager - HashiCorp Terraform Registry

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a technical engineering management role at IBM focused on managing the Terraform Registry, collaborating with global teams, and driving infrastructure as code solutions. It emphasizes career growth, technical leadership, and contributions to cloud-native software development.

Data Engineer - Business Intelligence Internship

Company: IBM

Location: Casablanca, MA

Posted Dec 09, 2025

This job description outlines a data engineering role focused on designing cloud-based data solutions, building scalable pipelines, creating analytical dashboards, and collaborating with cross-functional teams. It emphasizes technical expertise in Azure, Databricks, Power BI, and data governance while requiring a master's degree and problem-solving 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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