AI-Enabled Solution Architect Lead — Hands-on & Flexible

EY

Akron (OH)

Hybrid

USD 139,000 - 255,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
401(k) and pension

Job summary

EY is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products across modern architectures. You will prototype, guide engineering teams, and own architecture decisions in Digital Engineering Managed Services.

You will collaborate with client teams, review AI-generated code, and ensure security, reliability and production readiness while balancing speed and cost with strong engineering judgment.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering or related discipline.
  • 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

  • Hands-on solution architecture & design across UI, APIs, services, data, AI components, integrations and runtime platforms.
  • Prototype and spike solutions to validate architectural decisions early.
  • Define and evolve reference architectures for AI-enabled products, including RAG patterns and vector search.
  • Author ADRs, sequence flows, deployment diagrams and non-functional requirements.
  • Build CI/CD pipelines, environment strategies and release automation.
  • Lead technical workshops and whiteboarding sessions with client architects and engineers.

Skills

Hands-on software engineering
Cloud-native design
AI features

Education

Bachelor’s degree in CS/Engineering

Tools

Azure
AWS
GCP

Job description

EY is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products across modern architectures. You will prototype, guide engineering teams, and own architecture decisions in Digital Engineering Managed Services.

You will collaborate with client teams, review AI-generated code, and ensure security, reliability and production readiness while balancing speed and cost with strong engineering judgment.

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