Posted 1 day ago
AI Agent Platform Engineer
AI Summary
Designs and builds agentic AI platforms, agent harnesses and agent factories, and integrates AI-driven workflows with enterprise systems on scalable, secure cloud infrastructure. Works with client architects and engineering leaders to deliver enterprise-grade solutions.
About this role
๐๐ผ We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale โ across all devices and digital mediums, and our people exist everywhere in the world (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
- Design and build agentic platforms, agent harnesses, and agent factories from the ground up.
- Develop and implement AI-driven application solutions and agentic workflows for enterprise environments.
- Design and deliver scalable, secure, and resilient cloud architectures.
- Engineer and manage cloud infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.
- Deploy, operate, and optimize cloud-native applications using Kubernetes.
- Integrate AI-powered solutions with enterprise systems, legacy infrastructure, and existing technology platforms.
- Ensure compliance with enterprise architecture standards, security requirements, and governance frameworks.
- Collaborate with client architects, engineering leaders, and cross-functional teams to deliver enterprise-grade solutions.
Required Qualifications
- Strong hands-on software engineering and cloud delivery experience
- Expertise in Kubernetes, cloud architecture, and Infrastructure as Code (IaC)
- Proven experience designing and building agentic platforms, agent harnesses, or agent factories from scratch
- Strong experience in AI application solution design and agentic workflows
- Experience designing, developing, and deploying scalable applications in complex enterprise environments
- Understanding of enterprise architecture, security, governance, and regulatory requirements
- Experience integrating AI solutions with legacy infrastructure and enterprise systems
- Strong technical communication and collaboration skills with senior architects and engineering leadership
Good-to-Have Qualifications
- Experience in banking, financial services, or other highly regulated industries, including mainframe and core banking platform integration
- Experience modernizing legacy applications and integrating them with cloud-native and AI-powered solutions
Skills
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