AI Platform Architect Lead – Cloud & Observability

EY; Baton Rouge (LA); On-site; USD 144,000 - 374,000; Full time

Benefits offered by this job

Flexible vacation policy

Job summary

EY is building a next-generation AI platform and seeks a senior platform leader to shape the foundation, aligning cloud, hybrid, and edge environments with durable patterns.

You’ll run the platform as a product, define service tiers, and enable portable model access while balancing performance, cost, and reliability for diverse teams.

This role requires 9–12+ years of cloud/SRE/AI experience, a bachelor’s degree, and willingness to travel up to 50% in a hybrid office.

Qualifications

• Bachelor’s Degree in a relevant field is required.
• 9-12+ years of relevant experience.
• Substantial experience designing and operating cloud, infrastructure, SRE, or platform capabilities, including responsibility for production AI workloads.
• A track record of building a shared platform adopted by multiple product teams with measurable improvements in speed, reliability, or cost.
• Deep experience in at least one major cloud and 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.
• Ability to make build-versus-buy decisions and explain operational, commercial, and technical consequences.
• Experience leading complex programs, influencing senior stakeholders, and mentoring engineering teams.
• Travel up to 50% and readiness to work in a hybrid/office setting.

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 supporting model choice, policy-aware routing, resilience, and controlled experimentation.
• Architect elastic foundations. Shape compute, storage, and network capabilities for AI workloads with cost-conscious design.
• Automate the path to production. Create repeatable delivery patterns 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.
• Engineer for reliability. Set service objectives, observability standards, recovery patterns, and resilience exercises.
• Make economics visible. Connect usage, performance, and quality signals to improve unit economics without harming reliability or user outcomes.
• Guide strategic choices. Lead build-versus-buy and portability decisions with cross-functional partners.
• Build capability. Mentor platform engineers and SREs, and translate emerging tech 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 is building a next-generation AI platform and seeks a senior platform leader to shape the foundation, aligning cloud, hybrid, and edge environments with durable patterns.

You’ll run the platform as a product, define service tiers, and enable portable model access while balancing performance, cost, and reliability for diverse teams.

This role requires 9–12+ years of cloud/SRE/AI experience, a bachelor’s degree, and willingness to travel up to 50% in a hybrid office.