Senior Engineer, AI - AI Detection and Response

CrowdStrike

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CAAustin, TXRedmond, WA
Salary: $140,000–$215,000 / yr
Posted: 25 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $178k

$128k most similar roles pay here $254k

This role pays less than 53% of similar roles. Most pay $149,375–$241,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About CrowdStrike

CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.

CrowdStrike currently has 28 open roles on FindRole.

Listed pay typically runs $140,000–$215,000 across 28 roles with salary data.

Most-posted roles

View all roles at CrowdStrike

At a glance

TL;DR · Senior Engineer, AI - AI Detection and Response

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Sr. Engineer, AI - AI Detection and Response (AIDR) joins the team to build and maintain production-quality, scalable features for an AI-native cybersecurity platform. The role involves researching solutions, prototyping, implementing high-performance code, and creating dashboards to monitor feature efficacy and performance. You will architect systems, provide detailed design documentation, and present technical solutions to diverse audiences. Key responsibilities include developing AI applications and agents while integrating advanced concepts like RAG, Agentic AI, and AI Workflows. The required technology stack includes Go or Python, Kubernetes, and cloud platforms such as AWS, GCP, Azure, or OCI. Candidates must demonstrate expertise in frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, and MS Copilot Studio to solve complex problems within the security landscape, specifically focusing on AI security and automated detection systems.

Skills

LLM RAG Agentic AI LangChain LlamaIndex PyTorch TensorFlow Python Go AWS Azure GCP OCI MS Copilot Studio AI Agent Frameworks

What you'll do

Research and compare various technical solutions to address specific product requirements.
Design and document scalable architectures for AI features and production systems.
Develop high-quality, performant, and testable code using Go or Python.
Build and implement AI applications, agents, and workflows using frameworks like LangChain or LlamaIndex.
Create and maintain dashboards to monitor and report on production metrics such as efficacy and performance.
Present complex technical solutions and features clearly to both internal teams and customers.
Iterate on existing features based on gathered feedback to improve scale and functionality.

What we're looking for

6+ years of combined experience as a cloud app developer.
4+ years of experience in implementing Generative AI Apps and features.
Deep understanding of LLM concepts including RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, and A2A.
Expert level knowledge of frameworks such as TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, or MS Copilot Studio.
Expert level knowledge of Go and/or Python.
Moderate to expert level knowledge of K8s.
Deep understanding of at least two cloud infrastructures (AWS, GCP, Azure, or OCI).
Experience in security companies or with security products and AI Security is preferred.

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