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 end-to-end delivery of AI modernization solutions including scoping, prototyping, and deploying generative and multi-agent AI tailored to customer needs.
- Design, customize, and deploy autonomous agents using Kyndryl’s Agentic Platform, LLMs, and related AI technologies integrating with APIs, databases, and hybrid cloud environments.
- Implement and optimize AI system performance including security governance, agent communication gateways, and continuous observability for reliable and scalable enterprise AI operations.
Minimum Requirements
- 3+ years of experience building AI solutions, multi-agent systems, and orchestration frameworks using tools like LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Hands-on full-stack development skills in Python, React.js, TypeScript; experience with microservices, RESTful APIs.
- Proficiency in SQL (PostgreSQL), NoSQL (MongoDB), vector databases, and deploying Retrieval-Augmented Generation (RAG) architectures.
- Experience with Docker, Kubernetes, CI/CD pipelines (GitHub Actions), Git, and deploying on major cloud platforms (AWS, Azure, or GCP).
Ideal Candidate Profile
- Experienced in both AI engineering and customer-facing consulting to translate complex business requirements into deployable AI solutions with measurable impact.
- Comfortable working on-site with clients, capable of rapid prototyping and iterative delivery in a hybrid environment blending software engineering and solution consulting.
- Skilled at cross-functional collaboration and knowledge sharing to improve AI platform capabilities and deployment frameworks across research, engineering, and product teams.