- The Lead AI Platform Architect will lead the design and implementation of an enterprise-scale AI Agentic Platform that transforms Quality Engineering and Software Delivery.
- This role owns the end-to-end technical architecture, establishes engineering standards, and mentors the AI Platform Engineering team.
- The architect will work closely with Enterprise Architecture, Cloud Engineering, Security, DevOps, Application Teams, and Quality Engineering to deliver a scalable, secure, and reusable AI platform capable of supporting hundreds of enterprise applications.
Required
Qualifications
- 10+ years in software engineering or platform engineering.
- 5+ years designing enterprise cloud-native platforms.
- 3+ years with Generative AI, LLMs, or AI agent frameworks.
- Expert-level Python development.
- Solid experience with Kubernetes, Docker, APIs, microservices, and cloud platforms (AWS/Azure).
- Hands-on experience with RAG, vector databases, MCP, prompt engineering, and agent orchestration.