AI Platform Architect & Cloud Strategy Leader

EY; Olympia (WA); Híbrido; USD 144.000 - 359.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

401(k) plan with company match

Paid time off & Flexible vacation

Descripción de la vacante

EY is seeking a senior platform architect to shape the AI platform across cloud and hybrid environments, balancing performance, cost, and reliability. You will drive architectural strategy, define non-functional standards, and lead cross-functional teams to deliver reusable production patterns for AI workloads.

In this role, you will work with senior stakeholders to align roadmaps, ensure secure and observable deployments, and mentor engineers and SREs.

Formación

• 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.
• Travel and On-site requirements: up to 50% travel and hybrid office presence.

Responsabilidades

• Set the platform direction. Own the AI platform vision, reference architecture, roadmap, and non-functional standards across cloud, hybrid, and approved edge environments.
• Run the platform as a product. Understand developer needs, define clear service tiers and golden paths, prioritize the roadmap, and measure adoption and time to value.
• Enable portable model access. Design gateways and stable contracts that support model choice, policy-aware routing, resilience, and controlled experimentation without hiding important trade-offs.
• Architect elastic foundations. Shape the compute, storage, and network capabilities needed for AI workloads, balancing performance, regional constraints, resilience, and cost.
• Automate the path to production. Create repeatable delivery patterns that promote code and AI assets together, with progressive release, rollback, and evidence built into the process.
• Define trusted agent runtimes. Establish secure execution patterns for tools, identities, approvals, isolation, recovery, and replay so agent behavior remains controlled and understandable.
• Engineer for reliability. Set service objectives, observability standards, recovery patterns, and resilience exercises that make platform health measurable and operationally useful.
• Make economics visible. Connect usage, performance, and quality signals so teams can improve unit economics without weakening reliability or user outcomes.
• Guide strategic choices. Lead build-versus-buy and portability decisions with engineering, product, security, risk, procurement, and finance partners.
• Build capability. Mentor platform engineers and SREs, strengthen architecture practices, and help teams turn emerging technology into reusable production patterns.

Conocimientos

Systems architecture

AI platform depth

Platform product mindset

Operational excellence

Trust by design

Influential leadership

Travel 50%

Educación

Bachelor’s Degree in a relevant field of study

Descripción del empleo

EY is seeking a senior platform architect to shape the AI platform across cloud and hybrid environments, balancing performance, cost, and reliability. You will drive architectural strategy, define non-functional standards, and lead cross-functional teams to deliver reusable production patterns for AI workloads.

In this role, you will work with senior stakeholders to align roadmaps, ensure secure and observable deployments, and mentor engineers and SREs.