Lead AI Engineer, GTM Applications

Stelle nicht auf LinkedIn

🕒 vor 1 Monat

🏄 California – Remote

🏄 California – Remote

💵 $125.000 - $180.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

CrowdStrike

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Künstliche Intelligenz

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike ist ein Cybersecurity-Unternehmen, das cloudbasierte Sicherheitsdienste bereitstellt, um Sicherheitsverletzungen zu stoppen. Es gilt als führend in den Bereichen Endpoint Protection, Identity- und Cloud-Security sowie Managed Detection and Response (MDR). Die Plattform von CrowdStrike, Falcon, integriert künstliche Intelligenz (AI), um Echtzeit-Transparenz, Erkennung und Schutz vor hochentwickelten Cyberbedrohungen zu bieten. Für seine Effektivität beim Schutz von Netzwerken und Daten wird das Unternehmen hoch geschätzt und ist ein vertrauenswürdiger Partner für Unternehmen weltweit.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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