Applied AI Specialist-Cloud FullStack

Introduction

Embark on a rewarding career with IBM Consulting, where your journey will be defined by enduring client relationships and global collaboration. You will partner with top-tier companies across diverse industries, guiding them through their hybrid cloud and AI transformations. With the backing of our strategic alliances, cutting-edge IBM technology, and Red Hat, you will be equipped to instigate meaningful change and enhance client outcomes. At IBM Consulting, a spirit of curiosity drives our success. We encourage you to question the status quo, explore innovative concepts, and develop creative solutions that yield tangible results. Our commitment to growth and empathy prioritizes your long-term professional development while recognizing your distinct skills and experiences.

Your Role And Responsibilities

In the position of Applied AI Specialist: Cloud FullStack, you will be responsible for designing, developing, and enhancing cloud-native and hybrid applications that convert client needs into scalable, secure, and production-ready solutions. This role requires collaboration with digital workers and intelligent agents to deliver effective solutions, utilizing an AI-First approach and adhering to established methodologies.

Your Primary Responsibilities Will Include

• Solution Design: Crafting and constructing cloud-native and hybrid applications that fulfill client specifications while ensuring scalability, security, and production readiness.
• Application Development: Implementing an AI-First mindset to automate scaffolding, manage dependencies, define APIs, and conduct validation, alongside database design and validation.
• Pipeline Operation: Designing and managing CI/CD and GitOps pipelines with Infrastructure as Code (IaC) and DevSecOps controls to guarantee production readiness and quality during cutover.
• Quality Engineering: Conducting unit, module, and functional testing using testing agents and synthetic data to ensure high quality and reliability.
• Incident Resolution: Utilizing AI agents to analyze logs and stack traces for effective triage and resolution of incidents and defects across various phases.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Cloud Application Development: Familiarity with the design and development of cloud-native and hybrid applications that align with client needs and are scalable, secure, and production-ready.
• AI-First Mindset: Experience in applying an AI-First approach to automate scaffolding, manage dependencies, define APIs, and perform validation, in addition to database design and validation.
• CI/CD Pipeline Operation: Knowledge of designing and operating CI/CD and GitOps pipelines with Infrastructure as Code (IaC) and DevSecOps controls to ensure readiness for production and high-quality cutover.
• Quality Assurance: Proven experience in executing unit, module, and functional testing using testing agents and synthetic data to maintain quality and reliability.
• Hyperscaler Platforms: Familiarity with hyperscaler platforms such as AWS, Azure, and Red Hat OpenShift, along with deployment models to architect resilient and cost-effective full-stack and integration patterns.
  
  

Preferred Technical And Professional Experience

• Additional AI Tools: Experience with a variety of AI tools and technologies is a plus.
• Advanced Testing Methods: Knowledge of advanced testing techniques and methods is advantageous.
• Emerging Technologies: Awareness of emerging trends and technologies in cloud computing and AI can be beneficial.