Ai-Enhanced Technology Jobs

787,119 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.

AI Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text highlights IBM Consulting's career opportunities focusing on innovation, collaboration with global clients, and professional growth. It emphasizes roles in AI and hybrid cloud solutions, technical expertise, and a culture of continuous learning and impactful problem-solving.

Senior Software Developer FileNet Content Manager

Company: IBM

Location: San Jose, US

Posted Dec 04, 2025

IBM FileNet Content Manager is an enterprise content management platform. The company is seeking an innovative, experienced software developer to build AI-infused features for their products. The role involves working in a dynamic, collaborative environment, mentoring junior developers, and contributing to the full software development lifecycle.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The job role is for a Software Development Manager to lead the design and development of IBM Consulting Advantage Platform. The role involves managing a team of engineers, collaborating with stakeholders, and driving software development activities. Required skills include Python, data analytics, and experience with cloud technologies.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on cloud application development and deployment using AWS methodologies. It highlights the role's responsibilities, required education, and technical expertise needed for the position.

Infrastructure

Company: IBM

Location: Cheltenham, GB

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with visionaries across industries, improve hybrid cloud and AI, and make meaningful change for clients. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. They seek a Java Engineer to lead projects, mentor junior engineers, and shape technical direction.

Firmware Developer Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM's job description emphasizes innovation, collaboration, and technological leadership in developing complex systems and solving global challenges. It outlines roles in firmware, hardware, and software development with requirements for programming skills and agile methodologies.

Site Reliability Engineer (SRE)

Company: IBM

Location: Sofia, BG

Posted Dec 04, 2025

This job description for an IBM Automation-focused intern highlights responsibilities involving automation code development, system administration, and cloud technologies. It emphasizes problem-solving, innovation, and collaboration with clients, while outlining required skills in scripting, DevOps tools, and cloud platforms like Redhat OpenShift.

Application Developer-Asset Management

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Software Developer. The position involves working on hybrid cloud and AI projects for global clients, with responsibilities including project management, communication, and technical expertise in IBM Maximo Asset Management and related technologies.

Package Consultant-Oracle SCM

Company: IBM

Location: Kolkata, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with clients globally, deliver technical expertise, and solve complex business problems using IBM's technology platforms. The role requires strong interpersonal skills, experience in Oracle SCM Cloud, and the ability to build, automate, and release solutions.

Process Delivery Specialist

Company: IBM

Location: Sapporo, JP

Posted Dec 04, 2025

This job description highlights opportunities in IBM Consulting, emphasizing collaboration with global clients, career growth, and impactful work in hybrid cloud and AI. It outlines BPO roles with specific responsibilities and requirements, including Japanese language skills and technical expertise.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The role is an Associate Software Developer at IBM, working in a Client Innovation Center Delivery Center. Responsibilities include data gathering, storage, processing, predictive modeling, and designing enterprise search applications. The role requires a Bachelor's degree, experience with Azure Databricks, Python, SQL, and Azure DevOps, and strong communication skills.

Managing Consultant - SAP S/4HANA FI/CO (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, innovation in hybrid cloud and AI, career development opportunities, and expertise in SAP S4HANA implementations. It emphasizes collaboration with global clients and technical proficiency in SAP modules.

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.

Related Pages