Application Engineer (AI Automation)

Hire Today; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Pure Storage is seeking an Applications Engineer (AI Automation) to design and build enterprise AI automation systems that connect business platforms with Agentic AI. You will design MCP servers, AI agents, and RAG pipelines across Salesforce, ServiceNow, and Zuora to enable intelligent enterprise integrations.

You will collaborate with cross-functional teams, mentor engineers on best practices, and focus on scalable, secure, and high-performance AI automation solutions for complex enterprise

Qualifications

• Bachelor's degree in CS, SE, IT or related field.
• Experience designing MCP servers and AI automation is preferred.

Responsibilities

• Design and implement MCP servers for enterprise applications.
• Build AI agents and RAG workflows for intelligent automation.
• Develop secure REST API integrations across Salesforce, ServiceNow, and other platforms.
• Collaborate with cross-functional teams to deliver enterprise AI solutions.
• Provide technical leadership and mentor teams on AI automation best practices.
• Analyze enterprise data models and create AI-compatible schemas.
• Design agent-to-agent communication and autonomous AI orchestration workflows.
• Optimize enterprise AI automation for scalability, performance and reliability.

Skills

Python

TypeScript

Java

MCP

RAG

AI Agents

REST API

OAuth

ServiceNow

Vector Databases

Pinecone

Weaviate

Milvus

Education

Bachelor's Degree in Computer Science or related field

Tools

ServiceNow

Salesforce

Zuora

Pinecone

Weaviate

Milvus

Job description

Pure Storage is seeking an Application Engineer (AI Automation) to design and build enterprise AI automation systems that connect business platforms with Agentic AI. The role focuses on developing Model Context Protocol (MCP) servers, AI agents, RAG pipelines, and intelligent enterprise integrations across Salesforce, ServiceNow, and Zuora.

Responsibilities

• Design and implement Model Context Protocol (MCP) servers for enterprise applications.
• Build AI agents and Retrieval-Augmented Generation (RAG) workflows for intelligent automation.
• Develop secure REST API integrations across Salesforce
• ServiceNow
• and other enterprise platforms.
• Analyze enterprise data models and create AI-compatible schemas.
• Design agent-to-agent communication and autonomous AI orchestration workflows.
• Optimize enterprise AI automation for scalability
• performance
• and reliability.
• Provide technical leadership and mentor engineering teams on AI automation best practices.
• Collaborate with cross-functional teams to deliver enterprise-grade AI solutions.

Skills required

• Python
• TypeScript
• Java
• MCP
• RAG
• AI Agents
• REST API
• OAuth
• ServiceNow
• Vector Databases
• Pinecone
• Weaviate
• Milvus

Minimum Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.

Preferred Qualifications