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.

Technical Support engineer - DSC APO

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 11, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and technical expertise in SAP SCM APO. It outlines roles in delivery centers, supply chain optimization, and required skills like S4 HANA and Supply Network Planning.

Package Consultant-SAP Ariba

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This job description outlines a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and leadership in SAP implementation. It highlights career growth opportunities, technical expertise requirements, and team leadership responsibilities.

インダストリーコンサルタント(製造領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 11, 2025

This job description highlights opportunities for career growth at IBM, emphasizing collaboration with global clients, innovative solutions using hybrid cloud and AI technologies, and the importance of creativity and problem-solving. The role involves consulting for manufacturing industries, managing large-scale projects, and leveraging IBM's technology portfolio to drive business transformation.

Solution Architect-SuccessFactors (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, innovation, and professional growth. The role involves designing SAP SuccessFactors architectures, ensuring compliance, and leading cross-functional teams to deliver impactful technology implementations.

【日本IBM】Salesforce Consultant/Architect

Company: IBM

Location: Tokyo, JP

Posted Dec 11, 2025

This job description highlights opportunities for career growth in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and a supportive culture focused on long-term development.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 11, 2025

This text describes a FP&A Analyst role at IBM Consulting, emphasizing career growth, collaboration with clients, technological advancements, and professional development opportunities. It highlights responsibilities involving financial planning, data analysis, and process improvement using advanced tools and methodologies.

Principal Engineer - HashiCorp Terraform Core Platform and Providers

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This text describes a senior technical leadership role at IBM focused on shaping Terraform's core functionality and provider ecosystem. The position emphasizes strategic direction, architectural guidance, and execution quality in developing cloud-native solutions. It highlights collaboration with cross-functional teams, technical expertise in distributed systems, and leadership in defining technical standards for millions of users.

Business Development Executive - Oracle

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job posting outlines a Business Development Leader role at IBM, focusing on identifying business opportunities, collaborating with Oracle, and driving revenue growth. It details responsibilities like market research, client relationship management, and proposal preparation, along with required qualifications and skills.

Application Developer-Microsoft Power Platform & .NET

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovate technology solutions. Responsibilities include software development with Microsoft technologies, collaborative problem-solving, and agile learning. The position emphasizes career growth through client collaboration and strategic technology integration.

Software developer

Company: IBM

Location: Ahmedabad, IN

Posted Dec 11, 2025

The role involves developing high-quality software solutions within a collaborative team, utilizing various technologies and Agile principles. Opportunities for growth and innovation are emphasized, with a focus on problem-solving and continuous learning.

IBM Sales Accelerator Program: MEA Storage Sales Specialist - Arabic speaking (including 1 year in Valencia, Spain)

Company: IBM

Location: Valencia, ES

Posted Dec 11, 2025

The IBM Tech Sales Accelerator Program offers ambitious graduates a 12-month structured training path with mentorship, real-world experience, and opportunities to transition into IBM Storage sales roles in key markets. The role emphasizes solution-selling, client relationship management, and collaboration across IBM's ecosystem to drive business growth and innovation.

Senior Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 11, 2025

This job description highlights a senior engineering role at IBM focused on developing cloud-native solutions and infrastructure management tools. The position emphasizes collaboration, innovation, and delivering scalable secure solutions for enterprise clients, with opportunities to work on cutting-edge technologies like HashiCorp products.

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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