AI Platform Architect

Location: Bangalore

Grade:-D1

Kindly add supply

**Summary:**
Seeking experienced in GCP and AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. This role focuses on architecting scalable, production-grade AI platforms across cloud environments, with strong emphasis on RAG, agent orchestration, agent harness/skill building, observability, and gateway patterns.

**Key Responsibilities:**

• Design end-to-end architectures for AI platforms leveraging **RAG, agentic systems, and LLM-based applications**
• Define and implement **agentic patterns**, including streaming, async workflows, multi-agent orchestration, and **agent harness & skill development**
• Architect platform components such as:
• AI/LLM Gateways
• Agent frameworks, identity layers, and skill orchestration
• MCP gateways/servers/tools
• Observability and monitoring systems
• Build scalable solutions on Kubernetes and serverless cloud services
• Lead architecture across Amazon Web Services and/or Google Cloud Platform (GCP)
• Drive best practices for reliability, scalability, and performance of AI systems
• Translate complex AI capabilities into clear architectural narratives and business solutions

**Required Qualifications:**

• 8+ years in software architecture with strong focus on distributed systems
• Proven experience with **LLMs, RAG architectures, and agentic systems (including agent harness and skill building)**
• Deep understanding of **agent orchestration, async/streaming patterns**
• Strong hands-on expertise with **Kubernetes and cloud-native/serverless architectures**
• Experience designing **AI platform components (gateways, observability, agent infrastructure)**
• Proficiency in **Python, JavaScript**
• Strong communication and architecture storytelling skills

**Must have:**

• Experience with multi-agent frameworks (for example LangGraph, ADK) and emerging agent ecosystems
• Familiarity with LLMOps, evaluation frameworks, and AI governance
• Experience in GCP services such as BigQuery, Composer, Dataflow, Dataproc, Cloud function, Pub/Sub, and Cloud Storage
• Experience in implementation of security, governance, and compliance standards across GCP environments

Experience with enterprise-scale AI platform deployments