Senior AI Agent Developer — Remote (Legal AI Platforms)

CrowdStrike Inc.

Nashville (TN)

Remote

USD 160,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Market-leading compensation and equity
Comprehensive wellness programs
Generous vacation and holidays
Paid parental and adoption leave
Professional development opportunities
Employee Networks and volunteer Opport

Job summary

CrowdStrike Inc. is seeking a Senior AI Agent Developer to architect and scale AI platforms for the Legal Team.

You will own AI architecture, model integration, workflows, and user-facing experiences, collaborating with Legal, Data, Security, and Engineering teams to move ideas from discovery to production. You will design and deploy production-ready AI agents, prototype rapidly, and optimize for performance, cost, and security while aligning with enterprise standards.

Qualifications

  • Hands-on development with Python and production AI/ML workflows.
  • Deep understanding of large language models and agent design.
  • Proven ability to build and deploy AI solutions at scale.

Responsibilities

  • Design, build, and deploy production AI agents for enterprise workflows.
  • Prototype, test, and iterate agents focusing on performance and cost.
  • Redesign legal workflows with AI-centered agents and governance.
  • Share expertise, training, and governance discussions across teams.
  • Evaluate new AI capabilities to ensure long-term security and scalability.

Skills

Python
LLM/Agent experience
Builder mindset
Decision making with AI
AI safety & governance
Adaptability
Business acumen
Collaboration & communication

Tools

None

Job description

CrowdStrike Inc. is seeking a Senior AI Agent Developer to architect and scale AI platforms for the Legal Team.

You will own AI architecture, model integration, workflows, and user-facing experiences, collaborating with Legal, Data, Security, and Engineering teams to move ideas from discovery to production. You will design and deploy production-ready AI agents, prototype rapidly, and optimize for performance, cost, and security while aligning with enterprise standards.

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