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.

Junior Front-end Developer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

This job description outlines a role involving new feature development, code reviews, cross-functional collaboration, and maintaining services. Required skills include React, TypeScript/Node.js, REST APIs, and Agile methodologies, with preferences for GraphQL, Terraform, and AI-assisted development.

Strategic Account Manager

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a strategic account manager role at IBM Software, emphasizing opportunities to transform customer challenges into industry-leading solutions, collaborate with a dedicated team, and drive sales of cloud-native software. It highlights responsibilities like managing enterprise accounts, executing solution selling, and aligning with customer needs while requiring expertise in cloud infrastructure and strategic sales.

Business Analyst (RPO)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes IBM's recruitment process for a Business Analyst role, outlining responsibilities such as data analysis, reporting, and stakeholder collaboration. It details required technical skills, educational qualifications, and preferred experience in recruitment and ATS systems.

ServiceNow Application Architect

Company: IBM

Location: Dallas, US

Posted Dec 09, 2025

This job description outlines a ServiceNow Application Architect role at IBM Consulting, focusing on designing and implementing solutions for clients. It requires expertise in ServiceNow modules, certifications, and experience in enterprise environments.

SAP PP Team Leader

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's consulting roles emphasize collaboration with clients, SAP expertise, and team leadership for impactful career growth. The position highlights opportunities to innovate, optimize supply chains, and leverage technology platforms while fostering professional development in a supportive environment.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting, emphasizing global collaboration, innovation in hybrid cloud and AI, and opportunities to impact clients through technical expertise. It outlines responsibilities, required skills, and career growth, highlighting the role's significance in transforming business needs into solutions for IBM and its clients.

[AI] Research Tokyo Student Intern(TRL)

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

IBM Research offers an opportunity to work on cutting-edge AI technologies with competitive salaries and benefits. The position emphasizes innovation, problem-solving, and cultural adaptability, with specific requirements for technical skills and education.

Product Manager Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The role involves defining AI product strategies, collaborating across teams, and ensuring ethical practices. Required skills include product management fundamentals, Agile methodologies, and data analytics expertise.

FP&A JR Financial Analyst

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This job description highlights a role within a growing semiconductor sector team, emphasizing opportunities for professional development, collaboration, and impactful financial responsibilities. The position offers exposure to advanced financial systems and processes, with a focus on analytical skills and teamwork in a dynamic environment.

Application Developer-EAI

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI technologies, and responsibilities involving software development lifecycle activities. It highlights technical expertise requirements and preferred skills in B2Bi integration tools.

Entry Level Software Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM seeks developers to innovate in quantum and AI technologies, emphasizing collaboration, technical expertise, and problem-solving in cutting-edge storage solutions. The role highlights opportunities to work on advanced systems, contribute to industry-leading products, and drive impactful innovations with a focus on trusted platforms and scalable infrastructure.

Associate Product Manager in Business Automation (f/m/x)

Company: IBM

Location: Boeblingen, DE

Posted Dec 09, 2025

IBM offers a career in transformative software solutions, focusing on AI-driven innovations. The role involves cross-functional collaboration to deliver exceptional customer value, requiring technical expertise and adaptability.

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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