Applied AI Specialist-Cloud FullStack

Introduction

A career at IBM Consulting is grounded in long-term client relationships and global teamwork. You’ll collaborate with leading organizations across industries, supporting them as they design and advance their hybrid cloud and AI strategies. Backed by strategic partners, proven IBM technology, and Red Hat, you’ll gain the capabilities to deliver meaningful transformation and speed up client outcomes. At IBM Consulting, curiosity drives performance—you're encouraged to challenge conventional thinking, test new ideas, and develop solutions that create measurable results. Our growth and empathy-focused culture supports your long-term career development while recognizing and valuing your individual skills and experiences.

Your Role And Responsibilities

As an Applied AI Specialist: Cloud FullStack, you will design, build, and continuously improve cloud-native and hybrid applications that convert client requirements into scalable, secure, production-ready solutions. You will work with digital workers and intelligent agents to deliver these capabilities, using an AI-First mindset and adhering to established methodologies.

Your Primary Responsibilities Will Include

• Solution Design: Design and develop cloud-native and hybrid applications that satisfy client needs while remaining scalable, secure, and production-ready.
• Application Development: Use an AI-First mindset to automate scaffolding, dependency management, API definition, and validation, along with database design and validation.
• Pipeline Operation: Create and run CI/CD and GitOps pipelines, incorporating IaC and DevSecOps controls to maintain production readiness and improve cutover quality.
• Quality Engineering: Conduct unit, module, and functional testing with testing agents and synthetic data to verify quality and reliability.
• Incident Resolution: Review logs and stack traces with AI agents to triage and resolve incidents and defects across different stages.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Cloud Application Development: Experience designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.
• AI-First Mindset: Experience applying an AI-First mindset to automate scaffolding, dependency management, API definition, and validation, as well as database design and validation.
• CI/CD Pipeline Operation: Exposure to designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.
• Quality Assurance: Experience performing unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.
• Hyperscaler Platforms: Exposure to hyperscalers such as AWS, Azure, and Red Hat OpenShift, and deployment models to architect resilient and cost-optimized full-stack and integration patterns.
  
  

Preferred Technical And Professional Experience

• Additional AI Tools: Exposure to other AI tools and technologies can be beneficial.
• Advanced Testing Methods: Familiarity with advanced testing methods and techniques is desirable.
• Emerging Technologies: Knowledge of emerging technologies and trends in cloud and AI can be advantageous.