Modernization Engineer
Kyndryl (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, customization, and deployment of autonomous AI agents using Kyndryl’s Agentic Platform and related technologies to deliver high-impact AI solutions.
- Integrate and orchestrate AI agents across multiple APIs, databases, and cloud platforms ensuring security, governance, and performance optimizations.
- Manage end-to-end AI solution delivery from scoping to production, translating complex customer needs into measurable business value.
Minimum Requirements
- 3+ years experience building AI solutions, multi-agent systems, and orchestration frameworks using tools like LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Proficiency in full-stack development with Python, React.js, TypeScript; backend microservices and RESTful APIs; and databases including SQL (PostgreSQL), NoSQL (MongoDB), and vector databases.
- Experience with Docker, Kubernetes, CI/CD pipelines (GitHub Actions), Git, and cloud deployment on AWS, Azure, or GCP.
- Bachelor’s degree in Computer Science, Engineering, or equivalent.
Ideal Candidate Profile
- Practitioner comfortable working directly with customers and translating complex business problems into tailored AI engineering solutions.
- Experienced in integrating and optimizing agentic AI solutions within enterprise-scale, hybrid cloud environments, focusing on system performance, security, and scalability.
- Cross-functional collaborator who can contribute to knowledge-sharing across research, engineering, and product teams to improve AI platform capabilities.