Applied AI Specialist-Cloud FullStack

About the Role

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As an Applied AI Specialist: Cloud FullStack, you will design, build, and evolve cloud-native and hybrid applications that translate client requirements into scalable, secure, and production-ready solutions. This role involves collaborating with digital workers and intelligent agents to deliver solutions, applying an AI-First mindset to automate various tasks and ensure production readiness.

Key Responsibilities

• Solution Design: Design and build cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.
• Application Development: Apply an AI-First mindset to automate tasks such as scaffolding, dependency management, and API definition and validation.
• Pipeline Operation: Design and operate CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.
• Quality Engineering: Perform unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.
• Incident Resolution: Analyze logs and stack traces using AI agents to triage and resolve incidents and defects.

Requirements & Tech Stack

• Cloud Application Development: Exposure to designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.
• AI-First Mindset: Experience working with digital workers and intelligent agents to automate tasks such as scaffolding, dependency management, and API definition and validation.
• CI/CD Pipeline Operation: Familiarity with designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.
• Quality Assurance: Exposure to performing unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.
• Hyperscaler Platforms: Experience working with hyperscalers such as AWS, Azure, and Red Hat OpenShift to architect resilient and cost-optimized full-stack and integration patterns.
• Preferred Education: Master's Degree
• Preferred Technical and Professional Experience: Additional AI tools, emerging technologies in cloud and AI, and advanced testing methods.