Hands-On AI Solution Architect — Managed Services Lead

EY; Des Moines (IA); Remote; USD 139,000 - 255,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Hybrid work model

Job summary

EY in the United States is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications. You will spend most of your time shaping architectures, reviewing code, and guiding engineering teams in Digital Engineering Managed Services, balancing delivery speed with security and quality.

You will lead client workshops, define ADRs and reference architectures, and champion responsible AI and Zero Trust while ensuring production readiness and smooth transition to managed

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
• Typically 8+ years in engineering and solution architecture roles, with recent hands-on delivery responsibility.
• Prior consulting or complex product delivery experience strongly preferred.

Responsibilities

• Design end-to-end application architectures across UI, APIs, services, data, AI components, integrations and runtime platforms.
• Actively prototype and spike solutions (code, configs, pipelines, prompts) to validate architectural decisions early.
• Define and evolve reference architectures for AI-enabled products, including RAG patterns, vector search, prompt orchestration, evaluation and guardrails.
• Author Architecture Decision Records (ADRs), sequence flows, deployment diagrams and non-functional requirements.
• Lead technical workshops and whiteboarding sessions with client architects and engineers.

Skills

Architectural design

Hands-on coding

AI-enabled delivery

Technical leadership

Education

Bachelor's degree in CS/Engineering

Tools

Azure

AWS

GCP

CI/CD tooling

Job description

EY in the United States is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications. You will spend most of your time shaping architectures, reviewing code, and guiding engineering teams in Digital Engineering Managed Services, balancing delivery speed with security and quality.

You will lead client workshops, define ADRs and reference architectures, and champion responsible AI and Zero Trust while ensuring production readiness and smooth transition to managed