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.

Chief Analytics Office (CAO) - Senior/ Lead - Data Scientist

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Data Scientist role at IBM's Chief Analytics Office, focusing on AI and data science projects with opportunities for collaboration, technical growth, and impactful contributions.

Lead Data Engineer Python and AWS

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting highlights a Lead Data Engineer role at IBM, emphasizing innovation, collaboration, and problem-solving in cutting-edge technology. Responsibilities include designing data pipelines, working with cross-functional teams, and leveraging AWS technologies. Required skills involve SQL, Spark, Python, and cloud platforms, with preferred experience in lakehouse architecture and DevOps methodologies.

Infrastructure Specialist-Cloud Platforms

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves supporting infrastructure in key industries at IBM's delivery centers, requiring technical expertise and experience in cloud and OS administration.

Application Developer-Oracle Middleware

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI initiatives, career growth opportunities, and responsibilities involving software development, stakeholder collaboration, and continuous learning.

SAP EAM Field Service Package Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a lead SAP consultant role at IBM Consulting, requiring expertise in SAP Enterprise Asset Management and Supply Chain Management, with emphasis on project delivery, team leadership, and technical skills. The position demands extensive implementation experience, problem-solving abilities, and strong communication skills.

Selection Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description seeks a dynamic Recruitment Specialist to manage end-to-end hiring processes, collaborate with hiring managers, and drive employer branding. The role emphasizes innovation, candidate experience, and strategic talent acquisition with required expertise in recruitment tools and methodologies.

Delivery Consultant, GDPS

Company: IBM

Location: RESEARCH TRIANGLE PARK, US

Posted Dec 09, 2025

The text describes a career opportunity at IBM Technology Expert Labs, emphasizing worldclass services, collaborative culture, and positive impact. It outlines responsibilities involving client engagements, technical expertise, and travel requirements, while highlighting growth potential and experiential learning environments.

Quality Engineer-Test Management

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting's Client Innovation Centers, focusing on managing SAP test programs, requiring a bachelor's degree, experience with test tools, and collaboration in a matrix team environment.

Customer Solutions Engineer

Company: IBM

Location: Bellevue, US

Posted Dec 09, 2025

IBM's entry-level software developer role offers growth opportunities, collaboration with mentors, and impactful projects. The position emphasizes technical development, automation, and cross-functional teamwork while providing exposure to enterprise challenges and industry-leading platforms.

Test-Developer - Public Sector (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a job role at IBM Consulting focusing on test automation with Playwright and Cucumber, requiring expertise in TypeScript and agile methodologies. It highlights collaboration with clients and technical innovation in hybrid cloud and AI solutions.

Package Consultant-SAP Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP solutions, and opportunities for professional growth. It highlights roles in strategic solution leadership, customer success, and integration technologies while outlining required and preferred qualifications.

Backend-developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text promotes IBM Cloud's innovative environment and opportunities for a Full Stack Developer role, emphasizing collaboration, growth, and cutting-edge technology. It highlights required skills in Go, REST APIs, and cloud-first practices, while showcasing IBM's leadership in cloud technology and end-to-end solutions.

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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