Modernization Engineer
Kyndryl (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of AI-driven modernization solutions, including scoping, prototyping, and deploying generative and multi-agent AI systems.
- Design, build, and deploy autonomous AI agents leveraging Kyndryl's Agentic Platform, LLMs, and orchestration tools to integrate with APIs, databases, and hybrid cloud environments.
- Implement and optimize agent performance, security, governance, and operational telemetry to ensure robust, scalable, and measurable AI deployments for customers.
Minimum Requirements
- 3+ years experience building AI solutions and multi-agent systems with tools like LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Proficient in full-stack development (Python, React.js, TypeScript), microservices, RESTful APIs, and database technologies (SQL, NoSQL, vector databases).
- Experience with containerization and deployment technologies: Docker, Kubernetes, CI/CD pipelines (GitHub Actions), and cloud platforms (AWS, Azure, or GCP).
- Work Experience Required: Minimum 3 years relevant AI and software engineering experience.
Ideal Candidate Profile
- Technically adept in AI solution architecture with hands-on full-stack engineering skills and orchestration framework expertise.
- Able to translate complex business requirements into AI technical solutions and clearly communicate their value to executive stakeholders.
- Experienced in working closely with customers in hybrid environments, managing delivery accountability and cross-functional collaboration in dynamic enterprise AI projects.