Cloud AI developer
IBM
Cloud AI developer
Job Description
Cloud AI developer
📋 Job Overview
As a Cloud AI Developer at IBM, you will design, develop, test, and deploy AI-powered applications within modern cloud infrastructures. You will leverage technologies like Generative AI, Machine Learning, and agentic AI to deliver scalable, reliable, and secure solutions. This role involves close collaboration with DevOps, security, and product teams to ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Design, develop, test, and deploy AI-powered applications
- Leverage Generative AI, Machine Learning, and agentic AI technologies
- Collaborate with DevOps, security, and product teams
- Ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Experience in designing, developing, testing, and deploying AI-powered applications
- Proficiency in cloud technologies and infrastructures
⭐ Preferred Qualifications
- Advanced degree in a relevant field
- Experience with Generative AI, Machine Learning, and agentic AI technologies
- Familiarity with DevOps practices and tools
🛠️ Required Skills
- Generative AI
- Machine Learning
- Agentic AI
- Cloud technologies
- DevOps
- Continuous integration
- Continuous delivery
- Monitoring
- Optimization
- Collaboration
- Security
- Product development
🎁 Benefits & Perks
- Flexible working patterns
- Long-term career growth and development opportunities
- An environment that embraces unique skills and experience
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
Salary
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIintermediate
- Machine Learningintermediate
- Agentic AIintermediate
- Cloud technologiesintermediate
- DevOpsintermediate
- Continuous integrationintermediate
- Continuous deliveryintermediate
- Monitoringintermediate
- Optimizationintermediate
- Collaborationintermediate
- Securityintermediate
- Product developmentintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- Experience in designing, developing, testing, and deploying AI-powered applications (experience)
- Proficiency in cloud technologies and infrastructures (experience)
Preferred Qualifications
- Advanced degree in a relevant field (experience)
- Experience with Generative AI, Machine Learning, and agentic AI technologies (experience)
- Familiarity with DevOps practices and tools (experience)
Responsibilities
- Design, develop, test, and deploy AI-powered applications
- Leverage Generative AI, Machine Learning, and agentic AI technologies
- Collaborate with DevOps, security, and product teams
- Ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems
Benefits
- general: Flexible working patterns
- general: Long-term career growth and development opportunities
- general: An environment that embraces unique skills and experience
- general: Equal-opportunity employment
Tags & Categories
Cloud AI developer
IBM
Cloud AI developer
Job Description
Cloud AI developer
📋 Job Overview
As a Cloud AI Developer at IBM, you will design, develop, test, and deploy AI-powered applications within modern cloud infrastructures. You will leverage technologies like Generative AI, Machine Learning, and agentic AI to deliver scalable, reliable, and secure solutions. This role involves close collaboration with DevOps, security, and product teams to ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Design, develop, test, and deploy AI-powered applications
- Leverage Generative AI, Machine Learning, and agentic AI technologies
- Collaborate with DevOps, security, and product teams
- Ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems
✅ Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Experience in designing, developing, testing, and deploying AI-powered applications
- Proficiency in cloud technologies and infrastructures
⭐ Preferred Qualifications
- Advanced degree in a relevant field
- Experience with Generative AI, Machine Learning, and agentic AI technologies
- Familiarity with DevOps practices and tools
🛠️ Required Skills
- Generative AI
- Machine Learning
- Agentic AI
- Cloud technologies
- DevOps
- Continuous integration
- Continuous delivery
- Monitoring
- Optimization
- Collaboration
- Security
- Product development
🎁 Benefits & Perks
- Flexible working patterns
- Long-term career growth and development opportunities
- An environment that embraces unique skills and experience
- Equal-opportunity employment
Locations
- Multiple Locations, India (Remote)
Salary
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIintermediate
- Machine Learningintermediate
- Agentic AIintermediate
- Cloud technologiesintermediate
- DevOpsintermediate
- Continuous integrationintermediate
- Continuous deliveryintermediate
- Monitoringintermediate
- Optimizationintermediate
- Collaborationintermediate
- Securityintermediate
- Product developmentintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- Experience in designing, developing, testing, and deploying AI-powered applications (experience)
- Proficiency in cloud technologies and infrastructures (experience)
Preferred Qualifications
- Advanced degree in a relevant field (experience)
- Experience with Generative AI, Machine Learning, and agentic AI technologies (experience)
- Familiarity with DevOps practices and tools (experience)
Responsibilities
- Design, develop, test, and deploy AI-powered applications
- Leverage Generative AI, Machine Learning, and agentic AI technologies
- Collaborate with DevOps, security, and product teams
- Ensure continuous integration, delivery, monitoring, and optimization of AI-driven systems
Benefits
- general: Flexible working patterns
- general: Long-term career growth and development opportunities
- general: An environment that embraces unique skills and experience
- general: Equal-opportunity employment
Tags & Categories