Applied AI Specialist-Cloud FullStack
IBM · Posted Oct 30
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with clients worldwide on hybrid cloud and AI journeys, using IBM technology and Red Hat. The Applied AI Specialist: Cloud FullStack role designs and builds cloud-native and hybrid applications, operates CI/CD and GitOps pipelines, and uses AI agents and an AI-First approach to automate development and production readiness.
What you will do
- 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.
- AI-First Mindset: Experience working with digital workers and intelligent agents to automate tasks such as scaffolding, dependency management, and API definition and validation.
- 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.
Skills used in this role
What the employer is looking for
- Cloud Application Development: Exposure to designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.
- 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.
- Additional AI Tools: Exposure to other AI tools and technologies can be beneficial.
- Emerging Technologies: Familiarity with emerging technologies in cloud and AI can be advantageous.
- Advanced Testing Methods: Knowledge of advanced testing methods and techniques can be useful.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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