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.

Federal Associate Developer (Rocket Center, WV)

Company: IBM

Location: Rocket Center, US

Posted Dec 09, 2025

The IBM Consulting Associate Developer role offers opportunities to work with global clients, focus on professional growth, and leverage technical expertise in innovative projects. The position emphasizes collaboration, continuous learning, and contributing to impactful solutions for clients through advanced technologies and strategic partnerships.

Application Developer-RDBMS

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This text promotes an Application Developer role at IBM Consulting, highlighting opportunities to work with global clients, drive innovation, and contribute to impactful projects. It emphasizes career growth, technical expertise, and collaboration in a dynamic environment.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT - PROJECT MANAGER

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a Manager R2R role at IBM Consulting, emphasizing financial accounting, month-end close tasks, ERP systems, and collaboration with clients. The position highlights career growth, technological innovation, and operational excellence in a supportive environment.

Brand Technical Specialist Intern – Entry Level Sales Program 2026 (May Start)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program emphasizes collaborative innovation, technical expertise, and client-centric solutions. The role offers opportunities to develop skills in technology sales, build credibility through consultative methods, and contribute to digital transformation initiatives. The company highlights a supportive environment with growth potential and a focus on impactful, client-driven outcomes.

Application Consultant-ServiceNow

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing global collaboration, innovation, and professional growth opportunities. It highlights required and preferred qualifications, technical expertise, and the impact of working with clients through IBM's technology platforms and partner ecosystem.

Senior Managing Consultant - SAP OTC S4 HANA

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This job description highlights a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, leadership in SAP solutions, and opportunities for career growth. The position requires expertise in SAP systems, project management, and AI/cybersecurity knowledge, with flexible work arrangements.

Student SAP Finance TGR and CFM

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This text describes an IBM internship role involving global SAP process support, team collaboration on projects, and technical skill development. It outlines responsibilities like testing and reconciliations, with requirements for fluent English and proficiency in Excel/MS Office tools. The role emphasizes learning IBM's internal processes and best practices.

Software Engineer - Quality and Performance – Distributed Systems (Serverless NoSQL Platform)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights opportunities to innovate and solve complex challenges in AI-powered cloud-native software development. It emphasizes growth, technical expertise, and collaboration in a dynamic environment with global impact.

Application Developer-ServiceNow

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on collaboration with global clients, innovation in hybrid cloud and AI solutions, and opportunities for professional growth through technical expertise and certification. It outlines role responsibilities, required education, and technical skills needed for the Associate Developer position.

Sales

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights opportunities for career growth and collaboration with IBM's technologies, emphasizing innovation, client support, and flexible work arrangements. The role involves consulting, technology solutions, and cross-company partnerships, with a focus on transformative change and professional development.

Internship SAP Consultant MM

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

The text describes an SAP intern role with responsibilities including SAP module configuration, data migration, user training, and process analysis. It highlights learning opportunities in SAP technologies and collaboration with cross-functional teams, while outlining required skills and preferred experience for the position.

AI Solution Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and professional growth. It highlights required technical expertise in AI, DevSecOps, and cloud-native tools, along with soft skills like client engagement and teamwork.

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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