AI Engineer
We're looking for an AI Engineer focused on designing and building scalable technical solutions. This senior role requires 8+ years of relevant experience.
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
This role is part of CrowdStrike's Core Tech, Go To Market IT Apps Team — a team of Architects, Engineers, QA, BSAs, and Product Owners delivering highly Reliable, Scalable, and Secure Infrastructure and Automation Services across GTM Applications to Accelerate Business Velocity and Operational Excellence. As part of the GTM AI Pod, every member is expected to embrace Agentic AI technologies, operate with an open-source AI engineering mindset, and actively contribute to building the next generation of intelligent GTM workflows.
As a GTM AI Lead Engineer, you will lead hands-on engineering delivery of agentic AI solutions within the GTM technology stack. You will be a technical leader and mentor, driving the team from prototype to production-grade AI-powered systems across Salesforce, Slack, and intelligent workflow automation.
Shift Time: 2.00 pm - 11.00 pm IST
What You'll Do:
Lead engineering delivery for agentic AI capabilities for GTM stakeholders across its technology stack(Salesforce, Slack, 3rd party apps) and In-House Platforms.
Design and build LLM-powered workflows, autonomous agents,multi-agent systems and AI-enhanced integrations using Agentcore, Slack, MCPs,Langchain
Define scalable enterprise AI architecture patterns including model routing, orchestration,memory management and governance strategies
Design and optimize Retrieval Augmented Generation(RAG) systems, semantic search pipelines,vector retrieval strategies and enterprise knowledge grounding frameworks.
Build and maintain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions.
Implement AI evaluation frameworks including prompt quality benchmarking, hallucination reduction and model performance monitoring
Mentor senior and mid-level engineers; conduct code reviews and enforce AI engineering standards.
Define error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems.
Retire legacy integrations a
Posted June 27, 2026