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.

Oracle Cloud Solution Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves supporting Oracle Cloud implementations, requiring ERP experience and expertise in financials. It emphasizes collaboration with clients and strategic partnerships to drive innovation.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers, focusing on technical expertise and innovation for public/private sector clients. It lists educational requirements, technical skills in DevOps tools, cloud environments, and communication abilities.

Senior Solution Architect – Digital Engineering

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a senior role requiring expertise in PLM and Digital Engineering, emphasizing collaboration, technical leadership, and innovative solutions for complex business challenges. The position involves mentoring teams, defining architectural solutions, and driving digital transformation initiatives with a focus on efficiency and strategic impact.

Industry Consultant-Life Sciences

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving technical expertise delivery, client collaboration, and project management responsibilities. It specifies educational requirements, industry experience, and skills needed for insurance-related solutions and system impact analysis.

Senior Manager - Employee Data Management

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and innovation. It emphasizes opportunities for career growth, strategic partnerships, and impactful work with industry leaders. The role requires expertise in process improvement and transformation while fostering a culture of learning and empathy.

PROCESS INNOVATION PROFESSIONAL-LEAD TO CASH

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This role involves working with global clients to drive digital transformation using agile methods and AI. Responsibilities include managing accounts receivable and ensuring SLA compliance. Required skills include a bachelor's degree, 6+ years of experience, and proficiency in ERP software. The position emphasizes collaboration, innovation, and career growth opportunities.

General Accounting Professionals

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This job description outlines the role of a General Ledger Accountant at IBM, including responsibilities like financial record management, reconciliation, and intercompany processing, along with required skills and qualifications.

Tech Support Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Software Support is seeking passionate interns to join their Technical Support Engineering team, offering opportunities to gain hands-on experience, collaborate with experts, and contribute to client success. The role emphasizes problem-solving, customer satisfaction, and professional growth through AI tools and industry-leading support practices.

Data Engineer-Data Integration

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 09, 2025

This role involves data engineering tasks, collaboration with teams, and requires expertise in data warehousing, cloud technologies, and scripting languages.

User Researcher - Public Sector

Company: IBM

Location: London, GB

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, a supportive culture, and diverse benefits including training, flexible working, and innovation-focused environments. The role emphasizes collaboration, user research, and professional development in a dynamic industry setting.

Project Manager - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and project leadership. It highlights required skills like Japanese fluency and emphasizes working with strategic partners and technology platforms to drive client impact.

Application Developer-Open Source

Company: IBM

Location: Mysore, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in software development. It outlines responsibilities, required skills, and growth potential within IBM's ecosystem.

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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