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.

Enterprise Security Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for an Enterprise Security Architect position at IBM Client Innovation Center Germany. The role involves building a secure software development lifecycle, specifying and implementing security measures, creating security concepts, integrating security tools, and working with various technologies and frameworks. The position values diversity and offers opportunities to work with international clients and cutting-edge technologies.

Support Engineer - HashiCorp Vault

Company: IBM

Location: Noida, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role in the Support Engineering team for HashiCorp Vault. The position involves troubleshooting complex issues, working with cloud providers, and ensuring customer satisfaction. Required skills include customer management, Linux proficiency, cloud experience, and knowledge of Docker, Kubernetes, SSL/TLS, and OpenSSH.

IBM Maximo (MAS) Project Manager

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on long-term relationships with clients, working with visionaries across industries, and improving hybrid cloud and AI solutions. It highlights the importance of curiosity, continuous learning, and collaboration in driving meaningful change for clients. The role of an IBM Maximo MAS Project Manager is also outlined, emphasizing project planning, execution, and delivery, as well as leadership and stakeholder engagement.

Advisory User Experience Designer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 04, 2025

This job description seeks a senior designer to lead end-to-end customer experiences for IBM's asset management product, collaborating with cross-functional teams and requiring expertise in UI design, agile methodologies, and AI integration.

Administrador Capa Media

Company: IBM

Location: Bogota, CO

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the company's global presence, collaboration with clients, and focus on hybrid cloud and AI. The role involves platform administration, automation, and support for incidents and problems, requiring technical skills in areas such as Shell Scripting, Python, and IBM MQ.

Quality Engineer-Data

Company: IBM

Location: BANGALORE, 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. Key responsibilities include being a team player, training others, and having strong communication and collaboration skills. Required education is a Bachelors Degree, with required technical expertise in writing complex SQL queries and experience in Azure Databricks. Preferred experience includes excellent communication and stakeholder management skills.

Package Consultant-Workday Absence, Time Tracking, Payroll

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 an Infrastructure Specialist, you will support infrastructure for various industries, conduct working sessions with clients, design and implement Workday solutions, and provide subject matter expertise on business process decisions.

Team Lead - IBM Canada Communications

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is seeking a strategic communications professional to join its Corporate Affairs team as Team Lead for Canada. The role focuses on strengthening IBM's reputation, employee engagement, and market awareness through impactful internal and external communications strategies. The successful candidate will develop and implement a holistic communications plan, guide a diverse team of communications professionals, collaborate with stakeholders, and serve as a trusted advisor on brand stewardship and issues management.

Thought Leadership and Eminence Specialist

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The role is for a Thought Leadership & Eminence Professional at IBM Consulting to help shape the external presence of consultants and position them as influential voices across industries. The role involves translating complex consulting insights into clear, compelling thought leadership content, building personal brands for consultants, crafting social content strategies, and identifying speaking opportunities at major events. The ideal candidate should have a journalism, communications, marketing, or editorial background, be highly creative, skilled at shaping ideas into multiformat content, experienced in executive communications or thought leadership development, comfortable interviewing experts and distilling complex topics, adept at social media strategy, and strategic and proactive with a strong sense for what resonates with audiences.

Infrastructure Specialist(デジタル領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 04, 2025

The text describes a role within the IBM group in Japan, where the employee will work with clients across various industries to drive hybrid cloud and AI transformations. The role requires curiosity, continuous learning, and creativity to develop impactful solutions. The position involves designing, building, and optimizing cloud and on-premises infrastructure, with opportunities for leadership and involvement in various project phases.

Technical support professional for Storage systems

Company: IBM

Location: YOKOHAMA, JP

Posted Dec 04, 2025

The text describes a technical support role for storage products, emphasizing early recovery, root cause analysis, and preventive measures. It highlights the benefits of working with cutting-edge technology, global teams, and real equipment. The role also mentions the opportunity to become a Technical Account Manager (TAM) and work closely with global teams.

Accounts Payable Fresh Graduates

Company: IBM

Location: Naga City, PH

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a Procure-to-Pay (P2P) Specialist role. The role involves various responsibilities related to vendor data management, invoice processing, stakeholder collaboration, payment handling, and statement reconciliation. The position requires a bachelor's degree in accounting, finance, or a related field, along with intermediate knowledge of Excel and experience with accounting software or ERP systems. The role is based in Naga City, Cam Sur, and requires flexibility to work in shifts and onsite full-time.

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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