AI-Enabled Solution Architect — Managed Services Lead

EY; Charleston (WV); Hybride; USD 139 000 - 255 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Certification support

Flexible vacation policy

Pension and 401(k) plans

Medical and dental coverage

Résumé du poste

EY in the United States is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products. You will spend most of your time designing architectures, writing and reviewing code, building proofs-of-concept, and guiding engineering teams through complex technical decisions.

This role emphasizes technical depth, architecture ownership, and responsible AI controls across build-and-run engagements in Digital Engineering Managed Services.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 8+ years in engineering and solution architecture with recent hands-on delivery.
• Prior consulting or complex product delivery experience preferred.

Responsabilités

• Design end-to-end architectures across UI, APIs, data and AI components.
• Prototype solutions to validate architectural decisions early.
• Define reference architectures for AI-enabled products including RAG patterns.
• Author ADRs, sequence flows, deployment diagrams and non-functional requirements.
• Lead technical workshops with client engineers and architects.

Connaissances

Hands-on software engineering

Cloud-native design

AI-enabled features

Code, infra & pipelines

Technical communication

Formation

Bachelor's degree in Computer Science or Engineering or related

Outils

Azure

AWS

GCP

Container platforms

Description du poste

EY in the United States is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products. You will spend most of your time designing architectures, writing and reviewing code, building proofs-of-concept, and guiding engineering teams through complex technical decisions.

This role emphasizes technical depth, architecture ownership, and responsible AI controls across build-and-run engagements in Digital Engineering Managed Services.