Senior AI Platform Architect & Cloud Leader

EY; Phoenix (AZ); Hybrid; USD 144,000 - 374,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Flexible vacation policy

Job summary

EY invites you to join Challenger, a new EY program building the next generation of AI-enabled services. You’ll shape the AI platform architecture, define reference models, and align cloud, hybrid, and edge environments to deliver scalable, observable, and cost-conscious solutions.

As a systems thinker, you’ll work with senior stakeholders, turn ideas into production-ready patterns, and mentor a team of platform engineers and SREs while traveling up to 50% and collaborating across geographies.

Qualifications

• Bachelor’s Degree in a relevant field.
• 9-12+ years of relevant experience.
• Designing and operating cloud, infrastructure, SRE, or platform capabilities.
• Proven record of building a shared platform adopted by multiple product teams.
• Cloud architecture with portable patterns for hybrid or multi-cloud.
• Hands-on engineering: orchestration, networking, identity, IaC, APIs, observability.
• AI operations: operating model-serving and AI lifecycle capabilities.
• Cross-functional leadership and travel up to 50%.

Responsibilities

• 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.

Skills

Systems architecture

AI platform depth

Platform product mindset

Operational excellence

Trust by design

Influential leadership

Education

Bachelor’s Degree in a relevant field

Job description

EY invites you to join Challenger, a new EY program building the next generation of AI-enabled services. You’ll shape the AI platform architecture, define reference models, and align cloud, hybrid, and edge environments to deliver scalable, observable, and cost-conscious solutions.

As a systems thinker, you’ll work with senior stakeholders, turn ideas into production-ready patterns, and mentor a team of platform engineers and SREs while traveling up to 50% and collaborating across geographies.