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 S/4HANA Defense & Security Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions for global clients, emphasizing collaboration, innovation, and career growth. It outlines responsibilities for SAP S4HANA implementation in defense and security sectors, requiring expertise and a NATO security clearance.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work. Responsibilities include software development, stakeholder collaboration, and continuous learning, with requirements spanning education, experience, and technical skills in SAP HANA and ABAP development.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves working with global clients to accelerate digital transformation using agile methods and AI. It emphasizes collaboration, innovation, and long-term career growth within IBM's ecosystem.

Industry Consultant-Industry.Banking

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

The text describes a role at IBM Consulting focusing on innovation, global collaboration, and career growth. It highlights opportunities to work on cutting-edge technology, deliver expertise to clients, and contribute to transformative projects with access to advanced tools and a supportive ecosystem.

Package Consultant-SAP IS Retail

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing global client collaboration, innovation in hybrid cloud and AI, and the importance of technical expertise. It outlines role responsibilities, required education, and preferred skills for a position involving problem-solving and technology adoption.

Brand Technical Sales - webMethods Hybrid Integration

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 09, 2025

This text describes the IBM Brand Technical Specialist role, emphasizing technical expertise in integration solutions, sales maturity, and client relationship management. It outlines responsibilities like solution design, demo creation, and collaboration with sales teams, along with required qualifications and preferred skills in specific integration technologies.

Package Consultant-Workday Benefits & Compensation

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting focusing on hybrid cloud and AI initiatives, with responsibilities involving Workday implementation, client collaboration, and technical expertise. It highlights required certifications, preferred skills, and the impact of the role on client success.

Application Developer Intern

Company: IBM

Location: Casablanca, MA

Posted Dec 09, 2025

This text promotes an application developer intern role at IBM Consulting, emphasizing career growth, collaboration with experts, and opportunities to contribute to innovative projects. It highlights skills development, technical requirements, and a supportive environment for newcomers.

Oracle Payroll Specialist

Company: IBM

Location: Leicester, GB

Posted Dec 09, 2025

IBM CIC offers diverse career opportunities with focus on professional growth, innovative solutions, and a supportive work environment. The role includes leadership responsibilities, technical expertise, and benefits like training programs, flexible working, and career development. The company emphasizes collaboration, compliance, and a culture of continuous improvement.

Digital Technical Specialist - Storage: Italian Market

Company: IBM

Location: Valencia, ES

Posted Dec 09, 2025

The text promotes a Digital Sales Technical Specialist role at IBM Storage, emphasizing collaboration, career growth, and positive impact. It highlights opportunities to work with trusted clients, advanced technology, and a supportive learning environment that drives success and professional development.

Business Transformation Consultant-Digital Change

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation for clients. Responsibilities include developing solutions that enhance user experience and reduce costs, while collaborating with clients as a trusted advisor. The position requires business change expertise, technical guidance, and communication skills.

Senior Software Engineer - HashiCorp Nomad

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative cloud-native solutions, collaborate with experienced teams, and contribute to impactful projects. The role emphasizes reliability, scalability, and expertise in distributed systems, with a focus on solving complex challenges and advancing technology through 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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