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.

Senior Application Architect (f/m/x)

Company: IBM

Location: Guemligen, CH

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, collaborating with clients globally, and serving as an Architect to define solutions, guide technical teams, and collaborate with stakeholders. The position requires expertise in cloud solutions, SDLC, DevOps, and programming languages like Java and Python.

Industry Consultant-Life Sciences

Company: IBM

Location: Chennai, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. Responsibilities include executing and maintaining serialization master data updates, supporting new product launches and mandate implementations, collaborating and troubleshooting data issues. Required education is a Bachelors Degree, with a Masters Degree preferred. Required technical expertise includes 8-12 years of experience with serialization systems, strong understanding of master data management principles, and effective communication skills.

Package Consultant-Workday Finance Planning

Company: IBM

Location: Kolkata, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Workday Financial Planning Consultant, you will identify business requirements, align them with clients' financial planning processes, and provide expert guidance on industry standards. The role requires a Bachelor's degree, 4+ years of experience in Workday Adaptive Planning implementation, and certifications in Workday Adaptive Planning Core, Applied, and Integration.

DB2 Modernization Jr Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role offers opportunities to work with IBM clients on innovative solutions, emphasizing collaboration and career growth. It highlights strong technical skills and a supportive environment for professional development.

Senior Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role in the HashiCorp engineering team. The team builds the Infrastructure Cloud, which allows enterprises to take a unified approach to infrastructure and security lifecycle management. The role involves designing, prototyping, and implementing features and tools while ensuring stability and usability. The position requires at least 5+ years of experience as an engineer, with a focus on Golang development and experience with distributed systems on cloud providers like AWS, Azure, or GCP.

Application Developer-ServiceNow

Company: IBM

Location: Gurgaon, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves end-to-end feature development, collaboration with stakeholders, and problem-solving using best practice technologies and tools.

Data Scientist-Advanced Analytics

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The role of a Data Scientist with Advanced Analytics skills involves leveraging deep data and analytics expertise to address business challenges. The role requires proficiency in mathematical optimization, discrete-event simulation, rules programming, and predictive analytics. Key technologies include Python, Pandas, NumPy, Matplotlib, Seaborn, and Plotly. The role also involves data processing, programming, and automation using Python.

Package Specialist-SAP HANA FIN FI

Company: IBM

Location: Shanghai, CN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth. The role of a senior SAP Consultant is also discussed, focusing on strategic solution focus, comprehensive solution delivery, and required technical expertise.

SAP SuccessFactors Compensation BA/Design Lead

Company: IBM

Location: Bucharest, RO

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role that involves leading remote design workshops, facilitating verification sessions, and performing testing and integration mapping. The role requires strong experience with SuccessFactors Compensation and agile methodologies, as well as the ability to collaborate across multiple teams and drive end-to-end process alignment.

Oracle OIC & Fusion Technical Architecture Lead

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role that involves technical integration for Oracle Cloud implementation projects. The role requires extensive experience with Oracle Fusion Cloud, OIC integration, and various integration technologies. The position emphasizes collaboration, problem-solving, and leadership skills.

Package Consultant-SAP HANA FIN FI

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on long-term client relationships, hybrid cloud and AI solutions, and SAP HANA FIN experience. It outlines required education, technical expertise, and preferred experience for the role.

Associate SAP Functional- SuccessFactors Core HR - Entre Level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

The text is a job description for an Associate role at IBM's Client Innovation Center in Nova Scotia. It highlights the responsibilities, required education, and technical expertise needed for the position. The role involves designing and deploying HR technology solutions, conducting requirements analysis, and providing training and support. The company values passionate, original thinkers who are eager to learn and solve complex problems.

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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