AI Platform Engineer

CrowdStrike

AI Platform Engineer developing scalable AI infrastructure for advanced agents at CrowdStrike. Collaborating with cross-functional teams in a dynamic R&D environment to implement custom AI technologies.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformKubernetesPythonTerraformTypeScript

About the role

Key responsibilities & impact

Implement and scale critical infrastructure for advanced agents in cloud environments (AWS, GCP), working closely with developers to transition rapid prototypes into robust, scalable solutions
Implement advanced AI Gateways and integrate Okta for robust agent identity and security posture
Create and maintain agile environments dedicated to testing and prototyping new AI vendors, components, models, and integrations, while carving a clear path to production releases
Develop and execute rigorous evaluation criteria for emerging AI technologies, ensuring we adopt the best tools for our high-code agent environments
Function as a key technical pivot point in a group focused on rapid prototyping, collaborating seamlessly with Information Security, Identity, and wider IT teams.
Partner with enterprise architects to align rapid prototypes with broader architectural standards, helping to validate and offer critical feedback
Design and implement monitoring solutions to trace complex agent workflows, tracking tool usage, latency, and LLM decision pathways to ensure reliability at scale
Continuously monitor the rapidly changing AI landscape, helping the team innovate and adapt our platform architecture to support future AI capabilities.

Requirements

What you’ll need

Advanced proficiency with Python/Typescript, containerization (Docker/Kubernetes), REST APIs and identity protocols (OAuth2, OIDC)
Proven ability to build rapid cloud prototypes (AWS/GCP) and partner with core DevOps teams to translate those into scalable Terraform architectures.
Familiarity with adapting CI/CD pipelines specifically for agentic innovations, model deployments, and high-code AI workflows
A track record of thriving in R&D or rapid prototyping environments, with a passion for taking experimental concepts and figuring out how to scale them
Ability to methodically evaluate new vendor technologies, set testing criteria, and present actionable findings
Excellent communication skills to bridge the gap between AI developers, product managers, and external security/infrastructure teams
Familiarity with AI-specific threat vectors (e.g., OWASP Top 10 for LLMs), implementing runtime AI guardrails, and securing non-human/machine identities at scale
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypescriptDockerKubernetesREST APIsOAuth2OIDCTerraformAI TechnologiesAI Evaluation Criteria

Soft Skills

Excellent CommunicationCollaboration