Application Architect-Cloud Applications
International Business Machines Corporation
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Job summary
International Business Machines Corporation (IBM) in Bengaluru is seeking a Senior Engineer to design, build, and scale AI-enabled software solutions that improve delivery effectiveness. You will drive AI-DLC adoption, work with product/architecture teams, and help accelerate delivery while maintaining quality.
You will develop AI-powered engineering solutions, implement AI-assisted coding/testing practices, and design scalable, secure cloud-native applications with robust CI/CD pipelines and
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field.
- 7+ years of software engineering experience.
- Hands-on experience developing AI-enabled applications.
- Strong experience with cloud-native technologies and DevSecOps.
Responsibilities
- Design and build AI-enabled software solutions for scalable delivery.
- Lead AI-DLC practices adoption with product, architecture, and platform teams.
- Develop and maintain cloud-native applications with security and performance in mind.
- Build CI/CD pipelines and automated quality gates.
Skills
Education
Tools
Job description
The Senior Engineer is responsible for designing, building, and scaling AI-enabled solutions that enhance software delivery effectiveness. The role combines strong software engineering fundamentals with practical expertise in AI-assisted development, automation, testing, and operational excellence. The Senior Engineer actively drives adoption of AI-DLC practices and partners with product, architecture, and platform teams to accelerate delivery and improve quality.
- Build and maintain AI-powered engineering solutions.
- Apply AI throughout requirements analysis, design, development, testing, and operations.
- Drive implementation of AI-assisted coding and testing practices.
- Support engineering teams in adopting AI-native ways of working.
- Design and develop scalable cloud-native applications.
- Perform code reviews and technical design reviews.
- Ensure security, quality, maintainability, and performance standards.
- Build CI/CD pipelines and engineering automation.
- Implement automated quality gates and testing frameworks.
- Monitor and optimize platform reliability.
- Evaluate emerging AI technologies.
- Share best practices and lessons learned.
- Contribute to engineering standards and communities of practice.
- Bachelor's Degree
- Master's Degree
- Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field.
- 7+ years of software engineering experience.
- Hands-on experience developing AI-enabled applications.
- Strong experience with cloud-native technologies and DevSecOps.
- Technical Skills
- Python, Java, TypeScript, or C#
- LLM APIs and frameworks
- Agentic workflows
- RAG implementations
- Vector databases
- Prompt engineering
- CI/CD pipelines
- Containerization and Kubernetes
- GitHub, GitHub Copilot, Azure DevOps, Jira
- Preferred Qualifications
- AI/ML certification or equivalent practical experience.
- Experience implementing enterprise AI governance requirements.
- Experience mentoring junior engineers and leading technical initiatives.
- Key Competencies
- Technical problem solving
- AI innovation
- Automation-first mindset
- Collaboration
- Communication
- Ownership and accountability
10 - 15
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