AI Platform Architect

Prointegrate World It Consulting; Bengaluru; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Prointegrate World It Consulting in Bengaluru seeks an experienced 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 emphasis on RAG, agent orchestration, agent harness/skill building, observability, and gateway patterns.

You will architect scalable AI platforms across Kubernetes and serverless services, lead architecture across

Qualifications

• 8+ years of software architecture experience with 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 and JavaScript.
• Strong communication and architecture storytelling skills.

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 AWS 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.

Skills

LLMs

RAG architectures

agent orchestration

Kubernetes

cloud-native/serverless

Python

JavaScript

architecture storytelling

Tools

LangGraph

ADK

BigQuery

Composer

Dataflow

Dataproc

Cloud Functions

Pub/Sub

Job description

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 LLLOps, 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