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.

Promontory Associate Risk Regulatory and Compliance

Company: IBM

Location: SYDNEY, AU

Posted Dec 15, 2025

This job description outlines a role as an Associate Consultant at IBM Promontory Australia, focusing on risk management, regulatory compliance, and client engagement. The position requires expertise in financial services, data analytics, and regulatory frameworks, with responsibilities including project management, client interaction, and delivering analytical insights.

Senior Consultant SAP RTR Fixed Assets

Company: IBM

Location: No City, US

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on SAP RTR GL Analyst roles, emphasizing collaboration with clients, hybrid cloud/AI innovation, and financial reporting expertise. Responsibilities include configuring SAP systems, ensuring data accuracy, and working with cross-functional teams. The role offers global opportunities and strategic technology platform integration.

Package Consultant-Oracle Finance Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This text describes a career opportunity at IBM Consulting emphasizing long-term client relationships, collaboration, and innovation in hybrid cloud and AI solutions. It outlines role responsibilities, required technical expertise in Oracle applications, and career development focus.

Security Consultant - SIEM Admin L2

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

This text describes a career opportunity at IBM Consulting focusing on security roles with emphasis on collaboration, innovation, and professional growth. It outlines responsibilities involving SOC processes, security threat management, and technical expertise in SIEM tools. The role requires a bachelor's degree, 3+ years of SIEM experience, and preferred certifications, while highlighting a culture of curiosity and impactful problem-solving.

Package Specialist-SAP SCM MM

Company: IBM

Location: Hyderabad, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on collaborative client work, innovation in hybrid cloud and AI, and professional growth opportunities. It highlights technical expertise in SAP implementations, project leadership, and a supportive culture emphasizing skill development and long-term career advancement.

SOC Platform Engineer L3

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration, and innovative solutions. It outlines responsibilities in security operations, required education, and technical expertise, presenting the role as growth-oriented with opportunities for impact.

EWM Consultant

Company: IBM

Location: Buffalo, US

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on delivering high-quality SAP solutions, leading teams, and leveraging advanced technologies like AI and cloud platforms. It emphasizes collaboration, growth opportunities, and strategic leadership in a global environment.

Application Developer-Microsoft Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects using Microsoft technologies, requiring expertise in software development and agile practices. The position emphasizes innovation, technical collaboration, and career growth opportunities within IBM's global ecosystem.

AP Service Desk Analyst

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

IBM Consulting offers a role focused on digital transformation and client collaboration, with responsibilities in accounts payable support and a culture emphasizing innovation and professional growth.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, working in innovation centers, and developing features with stakeholders. Required skills include Java, Springboot, and Angular.

Tester (HS)

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM CIC offers extensive career growth opportunities, training programs, and a supportive work environment, emphasizing innovation and professional development through diverse projects and global client engagement.

IBM Power Security Product Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM promotes itself as a global tech leader offering innovative opportunities. The Product Manager role focuses on cybersecurity strategy, requiring expertise in security offerings and client collaboration.

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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