Ai-Enhanced Technology Jobs

786,695 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-Functional

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

The text describes job roles in IBM Consulting involving technical expertise, testing responsibilities, and collaboration with clients. It outlines required skills like API testing, Agile methodologies, and production support experience, along with education requirements.

System Services Representative

Company: IBM

Location: KARACHI, PK

Posted Dec 05, 2025

The text describes the mission and responsibilities of IBM Systems Support technical representatives, who provide predictive, proactive, and resilient support for IBM infrastructure solutions. Their core responsibilities include ensuring system availability, performance, and security through advanced support services, using AI and analytics to anticipate and resolve issues, providing multivendor support, collaborating with product design engineers, and extending the lifecycle of IBM systems through service extensions. The role of an onsite engineer involves strong AIX OS expertise, IBM Power Systems hardware knowledge, virtualization skills, system setup and configuration, storage management, system security, performance tuning, and problem determination.

Package Consultant - SuccessFactors Talent Mgmt

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 05, 2025

The text describes a career in IBM Consulting, highlighting the collaborative work with clients, focus on hybrid cloud and AI, and opportunities for learning and growth. It specifically mentions the role of a SuccessFactors Consultant, involving solution design, implementation, and delivery, with a focus on talent management and compensation modules.

Package Consultant-Oracle HCM Talent Management Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

This job description outlines a consulting role at IBM, focusing on Oracle Cloud solutions. The role involves working with clients globally, shaping solutions, configuring applications, and driving innovation. Required skills include functional expertise in Oracle Talent Management, experience with HCM Cloud projects, and excellent communication skills.

Technical Support Representative-Security Analyst

Company: IBM

Location: Gurgaon, IN

Posted Dec 05, 2025

The job posting is for a Security Analyst L2 position to protect an organization from cyberattacks. The role involves monitoring systems, identifying risks, installing security software, documenting breaches, and staying current on IT security trends. Required qualifications include a Bachelor's degree in Computer Science and experience in information security, network security testing, and VAPT concepts.

Senior Consultant/Business Analyst - SAP S4 HANA FI/CO (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a role at IBM Consulting where the individual will work closely with clients worldwide to improve their hybrid cloud and AI journey. The role involves consulting on strategy, business processes, requirements analysis, solution design, and IT implementation, with a focus on SAP S4HANA Finance and Controlling. The position requires at least 4 years of experience in SAP S4HANA Finance and Controlling consulting, project experience with at least 2 successful project lifecycles, and strong communication and negotiation skills.

Order To Cash Team Leader

Company: IBM

Location: Naga City, PH

Posted Dec 05, 2025

The text describes the role of an Order to Cash (OTC) Team Leader at IBM Consulting. The role involves managing and overseeing the end-to-end OTC process, including order management, invoicing, credit and collections, dispute resolution, and cash application. The OTC Team Leader is responsible for leading a team, optimizing processes, driving improvements, and collaborating with cross-functional teams to enhance cash flow and working capital. The role requires a strong understanding of OTC processes, ERP systems, and automation tools, as well as excellent analytical, problem-solving, and organizational skills. The OTC Team Leader is also responsible for ensuring compliance with internal controls, company policies, and legal regulations, and for providing regular reports and analysis on key OTC metrics.

Technology Lifecycle Services Reals – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The text describes a job role focused on IBM TLS renewal and expansion, requiring account management, sales execution, and technical expertise. It outlines responsibilities, required qualifications, and preferred skills for driving revenue growth through customer loyalty and upselling opportunities.

Technology Sales Partner Specialist - Entry Level Sales Program 2026

Company: IBM

Location: Markham, CA

Posted Dec 05, 2025

The text describes the role of an ISV Partner Specialist at IBM, focusing on hunting for new business by engaging Independent Software Vendors (ISVs) to embed IBM Software into their products. The role involves sales hunting, lead generation, solution selling, partner engagement, and sales execution. It requires a sales hunter mindset, territory planning, consultative selling, digital research, and agility.

Digital Adoption/Training Analyst

Company: IBM

Location: Multiple Cities

Posted Dec 05, 2025

The role of Digital Adoption Training Analyst at IBM Consulting involves helping federal agencies adopt new technologies and digital workflows. The position requires experience with Digital Adoption Platforms (DAPs) such as WalkMe and Whatfix, as well as skills in organizational change management, training strategy development, and client engagement. The role offers the opportunity to work on meaningful projects that support the transformation and modernization of federal agencies across the US.

Manager - Product Design

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

This job description highlights opportunities to work on innovative cloud solutions, lead design teams, and collaborate across functions. It emphasizes growth, expertise in enterprise SaaS products, and leadership in scalable design practices.

Formal Verification Lead

Company: IBM

Location: BANGALORE, IN

Posted Dec 05, 2025

This job description highlights a role in formal verification engineering for IBM's advanced processor systems, emphasizing work on quantum and AI technologies, collaboration with elite teams, and contributions to trusted hardware platforms. Responsibilities include verification environment development, tool expertise, and team leadership, with requirements spanning education, experience, and technical skills.

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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