IB
Job Description
Introduction
A career in IBM Consulting is grounded in durable client partnerships and close global collaboration. You’ll work with leading organizations across industries, supporting their hybrid cloud and AI initiatives. Backed by strategic partners, advanced IBM technology, and Red Hat, you’ll gain the capability to drive meaningful transformation and speed up client outcomes. At IBM Consulting, curiosity is a driving force for success. You’ll be encouraged to question conventional approaches, pursue new ideas, and build creative solutions that produce tangible results. Our culture of growth and empathy supports your long-term career development, while recognizing and leveraging your individual skills and experiences.
Your Role And Responsibilities
As an Applied AI Specialist: Cloud FullStack, you will design, develop, and continually enhance cloud-native and hybrid applications that convert client needs into scalable, secure, production-ready solutions. In this position, you will collaborate with digital workers and intelligent agents to deliver solutions by adopting an AI-First approach and adhering to established methodologies.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
A career in IBM Consulting is grounded in durable client partnerships and close global collaboration. You’ll work with leading organizations across industries, supporting their hybrid cloud and AI initiatives. Backed by strategic partners, advanced IBM technology, and Red Hat, you’ll gain the capability to drive meaningful transformation and speed up client outcomes. At IBM Consulting, curiosity is a driving force for success. You’ll be encouraged to question conventional approaches, pursue new ideas, and build creative solutions that produce tangible results. Our culture of growth and empathy supports your long-term career development, while recognizing and leveraging your individual skills and experiences.
Your Role And Responsibilities
As an Applied AI Specialist: Cloud FullStack, you will design, develop, and continually enhance cloud-native and hybrid applications that convert client needs into scalable, secure, production-ready solutions. In this position, you will collaborate with digital workers and intelligent agents to deliver solutions by adopting an AI-First approach and adhering to established methodologies.
Your Primary Responsibilities Will Include
- Solution Design: Design and build cloud-native and hybrid applications that align with client requirements and deliver scalability, security, and production readiness.
- Application Development: Use an AI-First mindset to automate scaffolding, dependency management, API definition, and validation, along with database design and validation.
- Pipeline Operation: Design and manage CI/CD and GitOps pipelines using IaC and DevSecOps controls to maintain production readiness and ensure cutover quality.
- Quality Engineering: Conduct unit, module, and functional testing with testing agents and synthetic data to support quality and reliability.
- Incident Resolution: Use AI agents to analyze logs and stack traces, triage, and resolve incidents and defects across different phases.
Master's Degree
Required Technical And Professional Expertise
- Cloud Application Development: Experience with 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: Experience designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to support 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: Experience with hyperscalers such as AWS, Azure, and Red Hat OpenShift, and deployment models to architect resilient and cost-optimized full-stack and integration patterns.
- Additional AI Tools: Experience with other AI tools and technologies can be advantageous.
- 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.
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