Lead AI Engineer, GTM Applications

🕒 June 12

🏄 California – Remote

🏄 California – Remote

💵 $125k - $180k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• 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

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • 8+ years of software engineering experience, with 3+ years in a lead or principal role • Strong proficiency in Python and TypeScript/JavaScript for AI and integration development • Hands-on production experience with Agentic AI frameworks, document parsing and structured extraction pipelines, building enterprise AI applications, autonomous agents and LLM powered systems • Experience with modern AI orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain and similar frameworks • Salesforce development experience: Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce • Proficiency with vector databases and retrieval optimization techniques • Experience with cloud infrastructure including AWS bedrock, Vertex AI, workflow orchestration, CI/CD tooling (GitHub Actions, Copado, Jenkins) and DevOps practices • Solid understanding of LLM limitations, token economics, and model selection trade-offs.

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe