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.

SAP CRM Lead

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI projects with global clients. The SAP CRM Lead role involves managing CRM projects, collaborating with stakeholders, and implementing solutions using SAP technologies. The position offers flexibility to work from anywhere in the US.

Senior Financial Analyst

Company: IBM

Location: Mexico City, MX

Posted Dec 16, 2025

IBM Consulting offers a career focused on client collaboration and innovation, with opportunities for growth and impactful projects in hybrid cloud and AI. Responsibilities include financial analysis, strategic planning, and cross-functional teamwork.

Package Consultant-Oracle Business Analytics Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

The text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and career growth. It outlines responsibilities, required skills in technology integration, and the importance of continuous learning. The role involves working with global clients and leveraging IBM's technology to drive impactful results.

Package Consultant-Oracle Business Analytics Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration, and innovation in hybrid cloud and AI solutions. It highlights growth opportunities, technical expertise, and the importance of skills like data migration and API integration for the role.

Operations Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

IBM Finance & Operations drives efficiency and innovation, offering career growth in a collaborative global environment.

Site Reliability Engineer Intern

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

IBM seeks Site Reliability Engineer Interns to contribute to scalable systems, collaborate on innovation, and solve complex challenges in tech. The role involves designing infrastructure, troubleshooting issues, and applying best practices for reliability.

Consultant - SAP FICO/MM/SD/PP/EWM/TM/ABAP

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, leadership opportunities, and professional growth through SAP expertise and technology platforms. It highlights strategic roles, team leadership, and skill development in a supportive ecosystem.

Package Specialist-Oracle Business Analytics

Company: IBM

Location: Mumbai, IN

Posted Dec 16, 2025

This job description outlines a Consultant role at IBM Consulting, involving software development for hybridcloud and AI initiatives, with responsibilities spanning the software development lifecycle. Required qualifications include a bachelor's degree, experience with database migration, API integration, and continuous learning, along with preferred skills in risk management and quality assurance.

Package Specialist-SAP HANA FIN FI

Company: IBM

Location: Kolkata, IN

Posted Dec 16, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and technical expertise. It outlines responsibilities involving SAP implementation and requires extensive experience with SAP FICO and global team collaboration.

Endpoint Security SME

Company: IBM

Location: Pune, IN

Posted Dec 16, 2025

This job description outlines a role in IBM Consulting focused on security expertise, collaboration with global teams, and driving innovation in hybrid cloud and AI solutions. Responsibilities include managing endpoint security tools, SIEM analysis, threat intelligence, and maintaining compliance while fostering long-term client relationships.

Application Developer-Experience Fullstack

Company: IBM

Location: NO City, BR

Posted Dec 16, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and technical expertise. It outlines responsibilities involving full-stack development, DevOps practices, and cloud technologies, along with required skills in languages like Golang, Python, and tools such as Kafka and Kubernetes.

Digital Professional - CONTRACTOR CONVERSION

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 16, 2025

IBM promotes innovation and positive impact through technology. The role involves quality assurance, testing, and collaboration to ensure product excellence.

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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