Applied AI Specialist-Cloud FullStack
IBM · Posted Oct 6
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting helps leading companies across industries shape their hybrid cloud and AI journeys, working closely with strategic partners, IBM technology, and Red Hat. The team delivers cloud-native and hybrid applications and AI-First engineering solutions for clients. As an Applied AI Specialist: Cloud FullStack, you will design, build, and evolve scalable, secure, production-ready applications while working with digital workers and intelligent agents across design, CI/CD pipeline operation, quality engineering, and incident resolution.
What you will do
- Solution Design: Designing and building cloud-native and hybrid applications that meet client requirements and are scalable, secure, and production-ready.
- Application Development: Applying an AI-First mindset to automate scaffolding, dependency management, API definition, and validation, as well as database design and validation.
- Pipeline Operation: Designing and operating CI/CD and GitOps pipelines with IaC and DevSecOps controls to ensure production readiness and cutover quality.
- Quality Engineering: Performing unit, module, and functional testing using testing agents and synthetic data to ensure quality and reliability.
- Incident Resolution: Analyzing logs and stack traces using AI agents to triage and resolve incidents and defects across different phases.
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.
- AI-First Mindset: Experience applying 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.
- 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.
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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