AI-Enabled Solutions Architect Lead — Hands-on

EY; Atlanta (GA); Hybrid; USD 139,000 - 255,000; Full time

Benefits offered by this job

Hybrid work model

Continuous learning

Certification support

Flexible work arrangements

Job summary

EY is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products. You will spend the majority of your time designing architectures, writing code, and guiding engineering teams through complex technical decisions in Digital Engineering Managed Services.

You’ll lead architectural workshops, review AI‑generated code, and define reference architectures with guardrails, SLOs/SLIs, and security‑by‑design.

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.
• 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.

Skills

Hands-on engineering

Cloud-native architecture

AI-enabled features

Code review & mentoring

Technical leadership

Education

Bachelor’s degree in CS/Engineering

Tools

Azure

AWS

GCP

Containerization

Kubernetes

Job description

EY is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products. You will spend the majority of your time designing architectures, writing code, and guiding engineering teams through complex technical decisions in Digital Engineering Managed Services.

You’ll lead architectural workshops, review AI‑generated code, and define reference architectures with guardrails, SLOs/SLIs, and security‑by‑design.