AI Platform Architect Lead – Cloud & Hybrid

EY

Atlanta (GA)

Hybrid

USD 180,000 - 320,000

Full time

14 days+

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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
Paid time off options

Job summary

EY is seeking a senior AI platform architect to lead the next generation of AI services. You will shape a scalable foundation across cloud and edge, balancing performance, cost, and reliability while aligning stakeholders across teams.

This high-impact role requires deep systems thinking, hands-on engineering, and the ability to translate business goals into practical platform patterns. Expect travel up to 50% with hybrid office options.

Qualifications

  • Bachelor’s degree in a relevant field.
  • 9-12+ years of relevant experience.
  • Designing and operating cloud, infrastructure, SRE, or platform capabilities.
  • Building a shared platform adopted by multiple product teams.
  • Deep experience in at least one major cloud and portable hybrid/multi-cloud patterns.
  • Hands-on engineering in orchestration, networking, IaC, delivery automation, APIs, and observability.
  • AI operations: release controls, evaluation, capacity, service objectives, incident learning.
  • Build-versus-buy decisions with operational/technical consequences.
  • Cross-functional leadership and mentoring.
  • Travel up to 50% and hybrid office availability.

Responsibilities

  • Set the platform direction: AI platform vision, architecture, roadmap, and standards across cloud, hybrid, and edge.
  • Run the platform as a product: define service tiers, prioritize roadmap, measure adoption and value.
  • Enable portable model access: design gateways and stable contracts for model choice and routing.
  • Architect elastic foundations: compute, storage, and network for AI workloads balancing performance and cost.
  • Automate the path to production: repeatable delivery patterns with progressive release and evidence.
  • Define trusted agent runtimes: secure execution, identities, isolation, and replay.
  • Engineer for reliability: set SLOs, observability standards, recovery patterns.
  • Make economics visible: connect usage signals to unit economics.
  • Guide strategic choices: build-vs-buy and portability with partners.
  • Build capability: mentor platform engineers and strengthen architecture.

Skills

Systems architecture
AI platform depth
Platform product mindset
Operational excellence
Trust by design
Influential leadership
Travel and On-site requirements

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking a senior AI platform architect to lead the next generation of AI services. You will shape a scalable foundation across cloud and edge, balancing performance, cost, and reliability while aligning stakeholders across teams.

This high-impact role requires deep systems thinking, hands-on engineering, and the ability to translate business goals into practical platform patterns. Expect travel up to 50% with hybrid office options.

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