Sr. AI Agent Developer (AI)

Location: USA - Remote

Salary: $140,000–$215,000 per year, with eligibility for bonuses, equity grants, health insurance, 401k, and paid time off.

Company

CrowdStrike is a cybersecurity company developing an AI-native platform that protects organizations and processes almost 3 trillion events per day.

What you will do

• Architect, build, and deploy production-ready AI agents supporting critical enterprise workflows for the Legal Team.
• Prototype, test, evaluate, and refine agents while building evaluation datasets and optimizing functionality, performance, adoption, and cost.
• Partner with Legal stakeholders to identify valuable AI use cases and redesign workflows around agents.
• Collaborate with Enterprise AI, Data, Security, Privacy, Engineering, analysts, contractors, and other cross-functional teams from discovery through production deployment.
• Share hands-on expertise, frameworks, and tools through AI training, knowledge sharing, and governance discussions.
• Evaluate emerging AI capabilities, frameworks, and standards to maintain secure, reliable, scalable, and enterprise-aligned solutions.

Requirements

• Strong proficiency in Python or similar languages, with direct experience building and deploying production AI/ML applications and workflows.
• Deep understanding of large language models and modern AI systems, with proven ability to design, build, and optimize practical agent solutions.
• Hands-on builder mindset focused on creating, iterating, and delivering real solutions rather than only strategy or advisory work.
• Proven experience using AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and drive business outcomes.
• Awareness of emerging AI safety and governance standards, risks, and guardrails for responsible AI agent development.
• Ability to adapt to a fast-evolving AI landscape and changing tools and approaches.
• Ability to understand enterprise workflows and design AI solutions aligned with business needs.
• Proven ability to collaborate across functions and translate technical solutions into clear business value.

Nice to have

• Experience building AI solutions for Legal, compliance, investigations, contracts, eDiscovery, knowledge management, or other document-intensive domains.
• Experience with model customization, fine-tuning, synthetic data, advanced retrieval, knowledge graphs, or multimodal document processing.
• Familiarity with AI gateways, agent frameworks, Model Context Protocol, multi-agent systems, or secure tool integrations.
• Experience designing AI products with source grounding, traceability, human review, and explainable outputs.
• Experience with enterprise AI platforms and services across AWS or Google Cloud.
• Experience facilitating engineers, vendors, or contractors across related initiatives.

Culture & Benefits

• Flexible and autonomous work environment with a culture of responsible AI adoption, experimentation, and innovation.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays, plus paid parental and adoption leave.
• Professional development opportunities for employees at every level and role.
• Employee networks, geographic neighborhood groups, and volunteer opportunities.
• Equal employment opportunity and support for veterans and individuals with disabilities.