Principal Application Security Engineer - AI & Agentic Systems

Company: Ladders

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-25

About this role

For our client, we are seeking a Principal Application Security Engineer - AI & Agentic Systems to join the team of a leader in the Healthcare space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a healthcare environment.


Location: Remote - US based candidates only, no visa sponsorship available


Compensation: $144,200 – $288,400 annually


Responsibilities

  • Lead the development and enforcement of AI security policies and standards, promoting security-by-design
  • Establish secure design patterns for AI frameworks, focusing on prompt management and escalation controls
  • Serve as the principal subject matter expert for AI-enabled application security
  • Architect and review secure designs for systems leveraging large language models and autonomous agents
  • Influence engineering teams to align security practices with AI compliance and responsible use initiatives
  • Lead advanced security testing and risk assessments for AI-enabled systems
  • Guide response strategies during incidents involving application or AI systems

Qualifications

  • 10+ years of experience designing, building, and securing large-scale applications and platforms
  • 7+ years of expertise in application security, including threat modeling, secure design, and vulnerability management
  • 7+ years of programming experience in languages such as Python, Java, JavaScript, C#, or Go
  • 5+ years of experience with AI-enabled systems, including LLM-based applications or agentic workflows
  • 5+ years of experience with public cloud platforms (AWS, Azure, and/or GCP)
  • 3+ years of experience with containerized, serverless, and micr...

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