Application Engineer (AI Automation)
Application analysis
Application Engineer (AI Automation) at Pure Storage is a forward deployed data infrastructure role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Backend / Software Engineering role centers on building integrations and services that survive real customer production loads. Key signals from the listing: Senior scope.
About Pure Storage
Data platform companies win by making complex systems usable in production — field roles prove ROI on live customer data. The role is anchored in Bangalore, India, so expect on-site customer work in that region.
Signals in the listing
Stand out for Application Engineer (AI Automation)
- Lead your application with one paragraph tying Application Engineer (AI Automation) to a specific customer or deployment you owned — Pure Storage hires for shipped outcomes, not tool lists.
- Highlight integrations or APIs you built under real SLAs — latency targets, failure modes, and how you tested before customer go-live.
- If the role is customer-facing, show code samples or architecture docs written for non-specialists, not just internal engineers.
- This role is tied to Bangalore, India — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Pure Storage
- Demonstrate data architecture with a concrete example — Pure Storage will probe for specifics, not buzzwords.
- Demonstrate migration experience with a concrete example — Pure Storage will probe for specifics, not buzzwords.
- Bring a migration or optimization story with before/after metrics, not just architecture diagrams.
- Read recent engineering blog posts, product launches, and customer stories on purestorage.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
- This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
As an Application Engineer for AI Automation, you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI. Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Opportunity, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication, creating a seamless autonomous workflow across our tech stack.
Key
Responsibilities
Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, Renewal) and other core platforms to AI agents. Data Model Synthesis: Rapidly decompose the data models of enterprise applications like Zuora, Salesforce, and ServiceNow to build effective schemas for AI interaction. Build AI Pipelines: Develop and optimize