Lead AI Engineer, GTM Applications (Remote

Position: Lead AI Engineer, GTM Applications (Remote)
As a global leader in cybersecurity, Crowd Strike 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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers 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 Crowd Strike'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.

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 and replace them with modern, agentic, event-driven patterns.

Champion security-first AI engineering: input validation, output sanitization, and prompt injection hardening.

Architect and implement CI/CD pipelines, deployment automation, and platform observability.

Embrace Agentic AI and LLM-powered tooling as a core part of your engineering practice.

Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems.

Champion automation-first thinking — if it can be agentic, make it agentic.

Build internal tools and apps to streamline data access and GTM decision-making.

Implement data governance and monitoring frameworks to enhance GTM system quality.

Evaluate vendors and AI platforms with a strategic build vs. buy mindset.

Identify and automate manual processes to increase organizational leverage.

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and…