Senior AI Platform Architect & Scale Lead

Vanguard

Malvern (Chester County)

Hybrid

USD 180,000 - 260,000

Full time

31 hours ago
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Benefits offered by this job

Hybrid work model
Engineering culture of excellence

Job summary

Vanguard in Malvern, PA is seeking a Principal AI Engineer to lead enterprise-scale AI architecture, productionizing cutting-edge research and driving reliable, scalable AI platforms. You will mentor engineers, set engineering standards, and collaborate with researchers to turn prototypes into client-ready solutions.

You will oversee model serving, deployment pipelines, and observability while guiding responsible AI practices across the organization.

Qualifications

  • 10+ years of experience in software, ML, or AI engineering.
  • Deep expertise deploying large-scale AI/ML systems in production.
  • Proven ability to lead complex technical initiatives from concept to production.
  • Strong knowledge of software architecture, reliability engineering, observability, DevOps, and cloud technologies.

Responsibilities

  • Define and lead the technical architecture for enterprise-scale AI and ML platforms.
  • Partner with researchers to transform prototypes into production-grade solutions.
  • Drive AI infrastructure, model serving, inference optimization, and scalability.
  • Own operational excellence, reliability, performance, and incident response for AI products.
  • Mentor engineers and lead reviews to raise standards in production AI systems.
  • Represent the team as a thought leader in scalable AI deployment and responsible AI practices.

Skills

AI architecture
Technical leadership
ML Ops
Cloud engineering

Job description

Vanguard in Malvern, PA is seeking a Principal AI Engineer to lead enterprise-scale AI architecture, productionizing cutting-edge research and driving reliable, scalable AI platforms. You will mentor engineers, set engineering standards, and collaborate with researchers to turn prototypes into client-ready solutions.

You will oversee model serving, deployment pipelines, and observability while guiding responsible AI practices across the organization.

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