AI Engineer

About CrowdStrike: CrowdStrike is a premier, internationally recognized cybersecurity pioneer, cloud infrastructure innovator, and AI-native digital defense leader on an absolute mission to stop breaches and protect the people, processes, and technologies that drive modern global organizations. Redefining digital safety since 2011, the platform delivers the world’s most advanced threat detection services, power-routing uncompromised compliance and network resilience for thousands of corporate enterprises across all major industries. Backed by an authoritative, mission-driven corporate philosophy, CrowdStrike cultivates an open-source engineering mindset that gives every professional the flexibility and autonomy to own their career. The organization provides high-agency AI engineers with an uncompromised virtual canvas to build autonomous multi-agent software layers, modernize event-driven integration patterns, and safeguard enterprise workflows safely worldwide.

Position Overview

We are seeking a highly analytical, systems-minded GTM AI Lead Engineer to join our core centralized Core Tech, Go-To-Market IT Apps Team in a full-time remote capacity across India. Operating within our newly structured GTM AI Pod alongside elite Architects, Engineers, and Product Owners, you will step up to claim individual strategic operational accountability for leading hands-on engineering delivery of agentic AI solutions within our enterprise technology stack. Shifting completely away from basic chatbot configurations or unoptimized pipeline scripting, you will drive our systems from initial open-source prototypes into high-performance, production-grade intelligent automation layers across Salesforce, Slack, and our custom internal software. This position requires an enterprise tech veteran with 5+ years of software development history who manages complex LLM orchestration fluidly, designs Retrieval-Augmented Generation (RAG) structures smoothly, and maintains type-safe backend rules natively using Python, TypeScript, and Apex.

Key Responsibilities

• Agentic AI Solutions Engineering: Design, build, and deploy production-grade LLM-powered workflows, autonomous multi-agent frameworks, and intelligent system integrations natively utilizing AI Engineer technologies.
• Scalable Enterprise AI Architecture Design: Formulate and enforce scalable enterprise architecture patterns, configuring model routing mechanisms, runtime orchestration layers, dynamic memory management, and structured data extraction pipelines.
• RAG System Optimization and Grounding: Architect and optimize complex Retrieval-Augmented Generation (RAG) systems, semantic search indices, vector retrieval strategies, and multi-tenant enterprise knowledge grounding frameworks.
• Salesforce Cloud Interface Engineering: Build, audit, and maintain custom Apex controllers, Lightning Web Components (LWC), Salesforce Platform Events, and secure Agentforce agent action models natively leveraging Python Scripting and JavaScript.
• Rigorous Model Evaluation and Benchmarking: Implement robust AI evaluation frameworks, tracking prompt quality benchmarks, establishing hallucination reduction parameters, and deploying model performance monitoring tools.
• Security-First Engineering and Prompt Hardening: Enforce strict security-first engineering guidelines across non-deterministic systems, conducting rigid input validation, output sanitization, and prompt injection defense hardening.
• Graceful Degradation Patterns Formulation: Define advanced error handling processes, automated fallback strategies, and graceful degradation tracks to ensure stability across asynchronous event-driven integrations.
• Asynchronous Team Mentorship and DevOps: Mentor mid-level and senior engineers, conduct thorough code reviews, and architect scalable CI/CD pipelines natively using GitHub Actions, Copado, or Jenkins tools.

Required Skills & Qualifications

• 5+ years of verified professional history running advanced software engineering, enterprise AI application development, autonomous systems configuration, cloud microservices management, or technology consulting.
• Deep, authoritative technical command of Large Language Model (LLM) limitations, token economics, semantic vector search methodologies, and fine-tuning selection trade-offs.
• Expert-tier capability orchestrating multi-agent systems and wiring up type-safe data pipelines natively utilizing AI Engineer tools (specifically covering LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or MCP).
• Practical operational familiarity writing clean object-oriented code and backend server transformations natively using Python Scripting and TypeScript/JavaScript environments.
• Mandatory CRM and Cloud Ecosystem Competency: Deep hands-on experience developing within the Salesforce framework, specifically writing Apex logic, constructing LWCs, managing REST/SOAP web services, and deploying cloud systems (such as AWS Bedrock or Vertex AI).
• Possession of a formal university Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical engineering discipline.
• Outstanding verbal and written communication traits in business-fluent English, enabling uncompromised confidence when presenting technical system architectures clearly to diverse stakeholders and global cross-functional cells from India.

Preferred Strategic Indicators (Nice to Have)

• Possession of active Salesforce Platform Developer II or formal Application Architect certifications.
• Prior commercial AI engineering history operating explicitly within an enterprise cybersecurity corporation, big-data analytics cloud hub, global FinTech engine, or high-throughput Slack app development studio.
• Direct hands-on experience contributing to open-source AI frameworks (such as LangChain, LlamaIndex, or closely equivalent public repositories).
• An outcome-driven personal philosophy rooted in automation-first thinking, a fanatical commitment to customer success, and an intense passion for building the next generation of intelligent enterprise workflows.

What We Offer

• Market-Leading Global Remuneration and Equity: Highly competitive full-time baseline compensation packages calibrated precisely to evaluate your technical AI authority, supplemented by premier corporate **Equity Awards**.
• The exceptional professional canvas to directly direct, shape, and code-engineer the agentic architectures and vector data models power-routing business velocity for a global cybersecurity industry leader.
• Profound work-from-home remote parameters offering an elite distributed workspace layout across India, complete scheduling trust, and zero physical office commuting friction.
• Immediate baseline access to premium comprehensive wellness frameworks, built to protect both your physical health and mental well-being.
• Generous lifestyle calibration benefits, providing extensive vacation allocations and paid national holidays for recharge, alongside fully paid parental and adoption leaves.
• Access to elite professional development opportunities, geographic neighborhood affinity networks, and a vibrant global culture certified as a Great Place to Work™ across the globe.