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.

Application Consultant-DevOps

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on developing and designing mobile solutions, implementing monitoring systems, and driving innovation. It requires a Bachelor's degree, with a preference for a Master's degree, and expertise in designing, integrating, and implementing monitoring systems for on-premise and cloud infrastructure applications.

Senior Managing SAP Data Lead

Company: IBM

Location: No City, US

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Data Migration Lead in IBM Consulting. It highlights the importance of project planning, data assessment, stakeholder collaboration, technical execution, testing, documentation, training, compliance, continuous improvement, and leadership. The position requires a bachelor's degree, hands-on experience in identifying and solving complex business problems, collaborating with data owners and analysts, working with Data Architects, and leading technical aspects of SAP Business Intelligence solutions. Preferred experience includes working with SAP FICO, MM, SD, PM, and Master Data, as well as experience in Master Data Management with SAP Master Data Governance.

Strategy Consultant - Software - Cambridge, MA

Company: IBM

Location: Cambridge, US

Posted Dec 04, 2025

The Software Strategy Consultant role at IBM involves developing insights through data and experience to support strategy engagements for executive leaders in IBM Software. The consultant will work closely with leaders across IBM Software to accelerate the company's Hybrid Cloud and AI strategy. The role requires strong analytical skills, experience in strategy consulting, and the ability to deliver high-impact strategies and transformation programs.

SOAR Engineer

Company: IBM

Location: Chennai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the importance of long-term relationships, collaboration, and innovation. It emphasizes the need for curiosity, continuous learning, and the ability to work in a fast-paced environment. The role involves incident response, security incident investigation, and threat hunting using SIEM tools like Qradar.

Infrastructure Specialist - Cloud Application Operations

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with visionaries across industries, improve hybrid cloud and AI journeys, and leverage IBM's strategic partner ecosystem and technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth in a culture of evolution and empathy.

Business Analyst-ADM

Company: IBM

Location: Navi Mumbai, 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 strong communication skills. Required education is a Bachelors Degree, with a Masters Degree preferred. Required expertise includes experience in EE&U asset management and liaison between business and tech teams. Preferred experience includes good communication skills and maintaining documentation.

Customer Engineer - HashiCorp Vault Radar

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This job description highlights opportunities to work on transformative cloud solutions, collaborate with cross-functional teams, and contribute to innovative AI-powered infrastructure. The role emphasizes expertise in critical components, customer collaboration, and problem-solving in complex technical environments.

Security Consultant-Intelligence & Operations

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, managing QRadar SIEM platform deployment, configuration, and operations. The ideal candidate will have expertise in QRadar, incident handling, forensic analysis, and security monitoring to enhance an organization's security posture.

India & South Asia Compliance Officer

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role of India & South Asia Compliance Officer at IBM involves maintaining the company's reputation of integrity and ethical conduct, coordinating compliance efforts across key areas, driving continuous improvement, and collaborating with senior business leaders and stakeholders. The position requires a strong commitment to integrity, excellent communication skills, and experience in the IT and technology sector.

Senior AI Developer

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

This job description outlines a role in Kochi, India, focusing on AI and data engineering for digital transformation. Responsibilities include designing AI agents, developing data pipelines, and collaborating with global teams. The position requires expertise in Python, SQL, and IBM Watsonx Orchestrate, with opportunities to drive business outcomes through innovative solutions.

Product Manager - STUDENT CONVERSION

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

The text describes a career opportunity at IBM, focusing on a role for a seasoned Product Manager. The role involves product ownership, growth, Agile team facilitation, innovative development, strategic leadership, and partnerships. Required skills include championing the voice of the customer, passion for innovation, financial acumen, and end-to-end product development expertise.

IBM Technology Expert Labs - Delivery Consultant for IBM Mainframe / LinuxONE

Company: IBM

Location: BUDAPEST, HU

Posted Dec 04, 2025

IBM Technology Expert Labs is a professional services organization that provides world-class services for clients using IBM technology, servers, and storage. The role involves delivering services for data and AI hybrid cloud and data resiliency solutions based on IBM z systems and software. The position requires infrastructure technology expertise, hands-on experience with datacenter infrastructure products, and readiness to work on projects outside of Hungary and travel if needed.

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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