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.

Quality Engineer-FullStack

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This text describes a Full Stack Tester role with responsibilities spanning test leadership, automation, performance testing, data validation, and collaboration with cross-functional teams. It outlines required technical skills, tools, and educational qualifications for the position.

Senior Managing Consultant

Company: IBM

Location: Riyadh, SA

Posted Dec 12, 2025

This text describes a senior consulting role focused on leading Salesforce transformations, driving sales growth, and delivering large-scale digital solutions. It emphasizes collaboration with clients, ecosystem partners, and IBM teams to achieve strategic objectives while maintaining compliance and delivering high-value outcomes.

Application Architect-SAP HANA Development

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

IBM Consulting offers career growth through collaborative innovation, client-focused solutions, and technical expertise in hybrid cloud and AI projects. The role emphasizes long-term relationships, strategic problem-solving, and professional development opportunities within a supportive ecosystem.

Lead Full Stack Developer (Golang)

Company: IBM

Location: Kochi, IN

Posted Dec 12, 2025

The text describes a job role requiring full-stack development expertise with cloud technologies, security practices, and collaboration across teams. It outlines responsibilities for API management, infrastructure optimization, and continuous improvement in a professional development context.

Package Consultant-SAP HANA SCM PLM

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

The text describes a career in IBM Consulting focused on client collaboration, innovation, and technical expertise in SAP EHS. It highlights opportunities to work on hybrid cloud and AI projects with global clients, emphasizing strategic partnerships and technology platforms.

Data Governance Lead

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

The role involves data governance analysis, collaboration with stakeholders, and requires experience in data policies. It offers technical expertise and innovation opportunities in enterprise data strategies.

Package Consultant-SAP HANA Application Security

Company: IBM

Location: Kolkata, IN

Posted Dec 12, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovate solutions for clients. Responsibilities include SAP security implementation, project leadership, and testing. Required experience includes SAP Security Implementation and ECC 60 role build.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 12, 2025

The text describes a career in IBM Consulting emphasizing collaboration, innovation, and technical expertise. It highlights opportunities to work with global clients, develop hybrid cloud and AI solutions, and grow professionally through a supportive ecosystem.

Data Engineer (Python/SQL)

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

This text describes a job opening for a Data Engineer at Hakkoda, an IBM company specializing in Snowflake Data Cloud solutions. The role involves designing data pipelines, working with cloud platforms, and collaborating with clients. Requirements include experience with SQL, Python, and cloud data platforms, along with agile teamwork skills.

Package Specialist-SAP HANA Basis

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

This job description outlines a role requiring technical expertise in SAP and related technologies, with responsibilities including backup/recovery, system monitoring, and project support. It specifies educational qualifications and experience in areas like SAP upgrades, HANA migration, and database management.

Quality Engineer-FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description outlines a Middleware Testing Practitioner role at IBM Consulting, emphasizing technical expertise, automation tools, and experience in testing solutions. It lists required education, technical skills, and preferred qualifications for the position.

DevOps Infrastructure Specialist - Defence

Company: IBM

Location: Cheltenham, GB

Posted Dec 12, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, flexible work arrangements, and a supportive culture. It emphasizes collaboration, innovation, and career development while outlining technical requirements for a Senior DevOps Infrastructure Specialist role.

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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