Senior AI Platform Architect & Cloud Strategy Leader

EY

McLean (VA)

Hybride

USD 144 000 - 359 000

Plein temps

Il y a 9 jours

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Avantages offerts par ce poste

Medical and dental coverage
Pension/401(k)
Paid time off

Résumé du poste

EY is seeking a senior platform architect to own the AI platform vision and reference architecture across cloud, hybrid, and edge environments. You will shape durable patterns, align stakeholders on practical trade-offs, and drive measurable adoption and value while balancing performance, resilience, and cost.

You will guide build-versus-buy decisions, mentor platform engineers, and lead collaboration with product, security, risk, and finance partners to deliver production-ready AI services at

Qualifications

  • Bachelor’s degree in a relevant field and 9–12+ years of experience.
  • Substantial cloud, infrastructure, SRE, or platform design experience for production AI workloads.
  • Proven record of delivering a shared platform adopted by multiple product teams.
  • Deep cloud architecture knowledge and portable pattern judgment for hybrid/multi-cloud setups.
  • Hands-on engineering with orchestration, networking, IaC, APIs, and observability.
  • Experience operating AI lifecycle, release controls, capacity, and incident learning.
  • Ability to justify build-versus-buy decisions with clear operational and commercial impact.
  • Cross-functional leadership and ability to mentor engineers and scales teams.
  • Willingness to travel up to 50% and hybrid office presence.

Responsabilités

  • Set the platform direction: AI platform vision, reference architecture, roadmap, and standards.
  • Run the platform as a product: define service tiers, adoption metrics, and time-to-value.
  • Enable portable model access: design gateways, contracts, routing, and controlled experiments.
  • Architect elastic foundations for AI workloads: compute, storage, networking with cost balance.
  • Automate the path to production: repeatable patterns, progressive release, and evidence.
  • Define trusted agent runtimes: secure execution, identities, isolation, and replay.
  • Engineer for reliability: service objectives, observability standards, and resilience testing.
  • Make economics visible: connect usage, performance, quality signals to improve unit economics.
  • Guide strategic choices: build-vs-buy, portability decisions with partners.
  • Build capability: mentor engineers, strengthen architecture practices, promote reusable patterns.

Connaissances

Systems architecture
AI platform depth
Platform product mindset
Operational excellence
Trust by design
Influential leadership

Formation

Bachelor’s Degree in a relevant field of study

Description du poste

EY is seeking a senior platform architect to own the AI platform vision and reference architecture across cloud, hybrid, and edge environments. You will shape durable patterns, align stakeholders on practical trade-offs, and drive measurable adoption and value while balancing performance, resilience, and cost.

You will guide build-versus-buy decisions, mentor platform engineers, and lead collaboration with product, security, risk, and finance partners to deliver production-ready AI services at

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