Senior AI Platform Architect & Cloud Leader

EY

Rogers (AR)

Hybrid

USD 144,000 - 329,000

Full time

9 days ago

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Benefits offered by this job

Pension and 401(k)
Medical and dental coverage
Flexible vacation policy

Job summary

EY seeks a high-impact AI platform architect to own the platform vision, roadmaps, and non-functional standards across cloud, hybrid, and edge environments. You’ll shape durable patterns, balance trade-offs, and drive production outcomes from ideas.

You’ll mentor engineers, influence senior stakeholders, and deliver cost-aware reliability and scalable AI capabilities. The role requires 9–12+ years in cloud/infrastructure, strong orchestration and observability skills, and willingness to travel

Qualifications

  • Bachelor’s degree required with 9–12+ years of experience in cloud, infrastructure, SRE, or platform engineering.
  • Proven track record designing and operating cloud/infrastructure for production AI workloads.
  • Experience delivering a shared platform adopted by multiple product teams with measurable improvements.
  • Deep cloud architecture experience and portable patterns for hybrid/multi-cloud.
  • Hands-on engineering in orchestration, networking, IaC, APIs, and observability.
  • Experience with AI operations, release controls, evaluation, capacity, and incident learning.
  • Ability to make build-versus-buy decisions and explain consequences.
  • Cross-functional leadership and stakeholder alignment.
  • Willingness to travel up to 50% and work in a hybrid setting.

Responsibilities

  • Set the platform direction: AI platform vision, reference architecture, roadmap, and standards.
  • Run the platform as a product; define service tiers, prioritize roadmap, and measure adoption.
  • Enable portable model access; design gateways, contracts, policy-aware routing.
  • Architect elastic foundations for AI workloads across regions and environments.
  • Automate the path to production with progressive release and evidence.
  • Define trusted agent runtimes with secure execution and replay.
  • Engineer for reliability with SLOs, observability, recovery patterns.
  • Make economics visible by linking usage, performance, and quality.
  • Guide build-vs-buy and portability decisions with stakeholders.
  • Build capability by mentoring engineers and turning tech into reusable patterns.

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 of study

Job description

EY seeks a high-impact AI platform architect to own the platform vision, roadmaps, and non-functional standards across cloud, hybrid, and edge environments. You’ll shape durable patterns, balance trade-offs, and drive production outcomes from ideas.

You’ll mentor engineers, influence senior stakeholders, and deliver cost-aware reliability and scalable AI capabilities. The role requires 9–12+ years in cloud/infrastructure, strong orchestration and observability skills, and willingness to travel

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