Senior AI Platform Architect - Cloud & Hybrid Leadership

EY

Hartford (CT)

Hybrid

USD 144,000 - 359,000

Full time

19 hours ago
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Benefits offered by this job

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

Job summary

EY is seeking a high-impact AI Platform Architect to shape a scalable, cloud-native AI platform across hybrid environments. You will lead a cross-functional team, set non‑functional standards, and balance delivery trade-offs while delivering durable patterns for production-ready services.

The role emphasizes architecture, governance, and execution with strong collaboration across engineering, product, security, risk and finance partners. Hybrid work and travel are expected.

Qualifications

  • Bachelor’s Degree in a relevant field of study.
  • 9-12+ years of relevant experience.
  • Substantial experience designing and operating cloud, infrastructure, SRE, or platform capabilities, including responsibility for production AI workloads.
  • A record of building a shared platform adopted by multiple product teams, with measurable improvement in speed, reliability, or cost.
  • Deep experience in at least one major cloud and strong judgment about portable patterns for hybrid or multi-cloud constraints.
  • Practical depth in orchestration, networking, identity, infrastructure as code, delivery automation, APIs, and production observability.
  • Experience operating model-serving and AI lifecycle capabilities, including release controls, evaluation, capacity, service objectives, and incident learning.
  • Demonstrated ability to make build-versus-buy decisions and explain the operational, commercial, and technical consequences.
  • Experience leading complex programs, influencing senior stakeholders, and raising engineering capability through mentoring.
  • This role requires up to 50% travel and hybrid in-office work.

Responsibilities

  • Set the platform direction: ownership of AI platform vision, reference architecture, and non-functional standards across cloud, hybrid, and edge environments.
  • Run the platform as a product: define service tiers, prioritize the roadmap, and measure adoption and time to value.
  • Enable portable model access with gateways, stable contracts, and policy-aware routing.
  • Architect elastic foundations for AI workloads balancing performance, regional constraints, resilience, and cost.
  • Automate the path to production with repeatable delivery patterns and progressive release.
  • Define trusted agent runtimes with secure execution patterns and governance.
  • Engineer for reliability with service objectives, observability standards, and incident learning.
  • Make economics visible by connecting usage, performance, and quality signals.
  • Guide strategic decisions with build-versus-buy and portability considerations.
  • Build capability by mentoring engineers and turning emerging tech into reusable patterns.

Skills

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

Education

Bachelor’s Degree in a relevant field of study

Tools

Orchestration
Networking
Identity
Infrastructure as code
APIs
production observability

Job description

EY is seeking a high-impact AI Platform Architect to shape a scalable, cloud-native AI platform across hybrid environments. You will lead a cross-functional team, set non‑functional standards, and balance delivery trade-offs while delivering durable patterns for production-ready services.

The role emphasizes architecture, governance, and execution with strong collaboration across engineering, product, security, risk and finance partners. Hybrid work and travel are expected.

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