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