Staff Engineer, AI Platform & Architecture (r5449)

Shield AI Shield AI · Defense · Remote · Enterprise Operations

Staff Engineer, AI Platform & Architecture role focused on translating the enterprise AI engineering roadmap into scalable platform architecture, reusable technical patterns, and production-grade shared services. This role provides deep technical leadership across AI enablement, responsible AI controls, observability, cost attribution, and reusable component strategy, acting as a technical liaison across various teams to set standards and guide AI adoption.

What you'd actually do

  1. translating the enterprise AI engineering roadmap into scalable platform architecture, reusable technical patterns, and production-grade shared services
  2. provides deep technical leadership across AI enablement, responsible AI controls, observability, cost attribution, and reusable component strategy
  3. acts as the connective technical tissue across Engineering, IT, Security, Legal, Data, and business unit teams - setting standards, creating reference implementations, and guiding teams toward consistent, secure, measurable AI adoption without relying on direct authority
  4. Success is defined by high-quality platform components adopted across teams, clear architecture and governance patterns, measurable productivity and cost outcomes, and effective mentorship of engineers building AI-enabled capabilities.

Skills

Required

  • AI platform architecture
  • scalable systems design
  • production-grade services
  • technical leadership
  • AI enablement strategies
  • responsible AI controls
  • AI observability
  • cost attribution for AI
  • reusable component strategy
  • governance patterns
  • mentorship

What the JD emphasized

  • scalable platform architecture
  • reusable technical patterns
  • production-grade shared services
  • AI enablement
  • responsible AI controls
  • observability
  • cost attribution
  • reusable component strategy
  • setting standards
  • creating reference implementations
  • guiding teams toward consistent, secure, measurable AI adoption

Other signals

  • AI enablement
  • responsible AI controls
  • observability
  • cost attribution
  • reusable component strategy
  • scalable platform architecture
  • production-grade shared services