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.

Infrastructure Specialist-Azure DevOps

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in DevOps, Python, Kubernetes, and Docker. It emphasizes education qualifications and experience in application security, distributed systems, and CI/CD tools.

Delivery Consultant, CICS

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a role at IBM Technology Expert Labs emphasizing collaborative innovation, technical expertise, and career growth. It highlights world-class services, positive impact on clients, and a supportive learning culture. The position requires specialized knowledge of IBM Z systems, CICS, and zOS programming, while offering opportunities to solve complex challenges and advance professionally.

Software Engineer - Open Search

Company: IBM

Location: San Jose, US

Posted Dec 10, 2025

This text promotes an IBM Software career opportunity focusing on AI-powered cloud-native solutions, emphasizing innovation, collaboration with open-source projects, and professional growth. It highlights roles in developing OpenSearch capabilities, working with Apache Cassandra, and contributing to open-source communities while requiring expertise in Java, distributed systems, and cloud technologies.

Technical Lead TS/SCI W/FSP

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights required expertise in technical leadership, system design, and security compliance, while promoting a culture of curiosity and continuous learning.

Application Developer-Oracle Cloud Reports

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation, and technical expertise. The role requires skills in Oracle Cloud reporting and problem-solving, with a culture emphasizing growth and creativity.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity in IBM Consulting focusing on long-term client relationships and digital transformation through agile methodologies. It outlines responsibilities involving HR system management, complex transactions, and compliance with client standards. The role emphasizes collaboration, problem-solving, and technical expertise in SAP HRMS and MS Excel, while highlighting career growth and strategic partnerships within IBM's ecosystem.

Security Consultant - GRC

Company: IBM

Location: Mumbai, IN

Posted Dec 10, 2025

The text describes a role in IBM Consulting focused on SOC governance, compliance, and security operations. It emphasizes career growth, technical expertise in security frameworks, and collaboration with global clients to enhance hybrid cloud and AI initiatives.

Java Software Developer - Product Operations Lead for Red Hat build of Apache Camel (m/f/x)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

The role involves collaborating on AI-powered cloud-native solutions, customer-focused development, and technical expertise in Java and Apache Camel, with opportunities for growth and innovation.

Software Strategy and M&A Summer Intern - New York, NY

Company: IBM

Location: New York, US

Posted Dec 10, 2025

The Software Strategy and MampA intern will support growth initiatives, develop strategies, and collaborate with cross-functional teams. Key skills include data analysis, communication, and teamwork. The position is located in New York or Cambridge with mentorship opportunities.

SAP ABAP Developer (HANA)

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in SAP HANA development. It outlines role responsibilities, required skills, and professional growth opportunities within IBM's ecosystem.

Application Developer-Oracle Cloud Reporting

Company: IBM

Location: Hyderabad, IN

Posted Dec 10, 2025

The text describes a consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and innovation in delivering solutions. It outlines responsibilities such as developing user-centric solutions, managing risks, and ensuring timely delivery. Required qualifications include experience with Oracle technologies and cloud implementations, while preferred skills involve advanced technical training and integration expertise.

Application Database Administrator-NoSQL Cloud Databases

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 10, 2025

The role involves designing mobile solutions using Cassandra, collaborating with teams, and ensuring database performance and reliability through troubleshooting and continuous improvement.

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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