AI Platform Architect & Senior Manager (Cloud Native)

EY; Irvine (CA); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY seeks a senior AI platform architect to shape a scalable platform across cloud and hybrid environments, owning the vision, architecture, and non-functional standards for production AI workloads. You will drive portable model access, automated delivery, and evidence‑based releases while balancing cost, reliability, and performance.

You will mentor engineers and SREs, guide build‑versus‑buy decisions, and collaborate with security, risk, and finance partners in a hybrid, travel‑heavy role.

Qualifications

• Bachelor’s Degree in a relevant field.
• 9–12+ years of relevant experience.
• Substantial experience designing and operating cloud, infrastructure, SRE, or platform capabilities, including 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 portable patterns for hybrid or multi-cloud constraints.
• Hands-on depth in orchestration, networking, identity, infrastructure as code, delivery automation, APIs, and production observability.
• AI operations: release controls, evaluation, capacity, service objectives, and incident learning.
• Architecture judgment: build-versus-buy decisions with clear implications.
• Cross-functional leadership: leading programs and mentoring teams.

Responsibilities

• Set the platform direction. Own the AI platform vision, reference architecture, roadmap, and non-functional standards across cloud, hybrid, and edge environments.
• Run the platform as a product. Define service tiers, 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 and controlled experimentation.
• Architect elastic foundations. Shape compute, storage, and network for AI workloads with cost and resilience in mind.
• Automate the path to production. Create repeatable patterns with progressive release, rollback, and evidence.
• Define trusted agent runtimes. Establish secure execution patterns for tools, identities, approvals, isolation, and replay.
• Engineer for reliability. Set service objectives and observability standards for measurable platform health.
• Make economics visible. Connect usage and quality signals to improve unit economics without hurting reliability.
• Guide strategic choices. Lead build-versus-buy and portability decisions with stakeholders.
• Build capability. Mentor platform engineers and SREs to turn emerging 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

Job description

EY seeks a senior AI platform architect to shape a scalable platform across cloud and hybrid environments, owning the vision, architecture, and non-functional standards for production AI workloads. You will drive portable model access, automated delivery, and evidence‑based releases while balancing cost, reliability, and performance.

You will mentor engineers and SREs, guide build‑versus‑buy decisions, and collaborate with security, risk, and finance partners in a hybrid, travel‑heavy role.