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.

Application Developer-Cloud FullStack

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This role involves working with global clients to innovate hybrid cloud and AI solutions, requiring expertise in microservices and Angular. It offers career growth and collaboration with IBM's technology leader.

Application Consultant-DevOps

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on long-term client relationships, collaboration with industry visionaries, and driving innovation through hybrid cloud and AI solutions. It outlines responsibilities such as designing mobile solutions, continuous improvement via agile frameworks, and implementing monitoring systems for cloud infrastructure. The role emphasizes technical expertise, strategic partnerships, and leveraging IBM's technology platforms to deliver impactful results for clients.

Package Consultant-SAP IS Oil & Gas

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on client collaboration, hybrid cloud and AI solutions, and career growth through strategic partnerships and technology platforms. It emphasizes impactful work with innovative companies and sales expertise in IBM's ecosystem.

Sr.Solutions Engineer

Company: IBM

Location: WASHINGTON, US

Posted Dec 09, 2025

This role involves collaborating with HashiCorp teams to enhance cloud solutions, requiring technical expertise and strong communication skills for customer success.

Digital Sales Specialist Industries Market

Company: IBM

Location: Austin, US

Posted Dec 09, 2025

The text promotes a Digital Sales Specialist role at IBM, emphasizing career growth, collaborative teamwork, and impactful contributions to clients. It highlights opportunities for professional development, innovative problem-solving, and making a significant business impact through technology solutions.

Big Data Engineer with Spark

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting seeks a Data Engineer with Spark expertise to develop software solutions in IBM's delivery centers. Responsibilities include writing scalable code, designing solutions, debugging applications, and implementing security measures. Required skills involve Apache Spark, Docker, Kubernetes, and ETL processes, with preferred experience in Kafka and GitLab.

Customer Service Subject Matter Expert OtC

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This role requires leading OtC transformation projects, driving innovation, and aligning strategies with organizational goals, demanding expertise in SAP, HighRadius, and cross-functional team management.

CICS Client-facing Subject Matter Expert (SME) and Trainer

Company: IBM

Location: PARAMUS, US

Posted Dec 09, 2025

The IBM Z CICS Brand Technical Specialist role offers collaborative opportunities for career growth, emphasizing technical expertise and client engagement in a supportive environment with strong development prospects.

Internal Business/Operations Support

Company: IBM

Location: Leicester, GB

Posted Dec 09, 2025

IBM CIC offers diverse career opportunities with focus on professional growth, innovative projects, and a supportive work environment. The role includes administrative support, collaboration with teams, and benefits like training, flexible working, and career development programs.

AI Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Consulting's career opportunities, emphasizing global collaboration, innovation in hybrid cloud and AI solutions, and professional growth. It highlights technical expertise, strategic partnerships, and a culture of evolution, while outlining required skills and educational qualifications for roles involving AI architecture and client-facing consulting.

Quality & Escalations Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

IBM seeks seasoned professionals for a new cloud-native AI product, emphasizing innovation, testing, and automation in a collaborative environment with growth opportunities.

Intern 2026: Quantum Algorithm Research

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Research opportunities in quantum computing, emphasizing collaboration, innovation, and professional growth. It outlines role responsibilities, required skills, and the impact of contributing to cutting-edge technology.

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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