Staff Engineer, Enterprise IT Automation

This is an unusual role and worth reading carefully before applying. Netradyne wants one engineer to be the central point for generative AI adoption across the whole company, turning scattered team by team experiments into reusable, secure capabilities that sales, marketing, support, product, engineering, HR, legal and finance can all use. In practice you build agentic AI workflows and MCP connectors, wire them into existing enterprise systems like Microsoft 365 and the Power Platform, and apply real software engineering discipline to them: version control, testing, observability, so they survive contact with production. The posting also puts governance in scope, including visibility into shadow AI spend across the organisation. It is explicitly a hands on, build first role rather than an advisory one.

What the posting requires: a bachelor's or master's in computer science, IT, AI or a related field. 8 or more years in IT engineering, of which at least 5 in IT automation and AI tooling solution and implementation. Note the title says Staff and the headline skill is automation, but the real floor is 8 years overall, not 5. Hands on experience shipping generative AI solutions with tools such as OpenAI, Microsoft Copilot, Claude, Cursor and GitHub Copilot. Proficiency in Python, Java or similar with the ability to build and integrate APIs and workflows. Working knowledge of AI and ML frameworks, prompt engineering, RAG patterns and agentic or workflow automation such as n8n or Zapier. Strong understanding of enterprise IT infrastructure, cybersecurity and cloud (Azure, AWS or Google Workspace). Experience with Microsoft 365, SharePoint and the Power Platform. Familiarity with IT security frameworks and identity tooling: LDAP, Entra ID, SSO and identity providers, VPNs. Exposure to SOC automation, AI driven ITSM or InfoSec response automation.

The day to day: designing and maintaining reusable AI agents, workflows, MCP connectors and assistants; integrating them into enterprise IT and business systems; partnering with function leads to prototype and scale use cases; ensuring deployment meets Netradyne's responsible AI principles, GDPR obligations and InfoSec policy; supporting governance of generative AI tool budgets across the organisation; and monitoring and troubleshooting deployed automation.

Location and office reality: Bangalore. Netradyne's stated policy across its postings is on site five days a week at Whitefield.

Who this is for: an engineer who likes being a horizontal force multiplier and is comfortable working with every function in a company rather than one product team. If you want to go deep on one system, this is the wrong shape. If you have been the person quietly automating things for everyone and want that as the actual job description, it fits well.