Hands-On AI Solution Architect Lead

EY; Kansas City (MO); Hybrid; USD 139,000 - 255,000; Full time

Benefits offered by this job

Ownership of AI products

Modern tech stacks

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 lead architecture design, code reviews and proofs-of-concept, guiding engineering teams through complex technical decisions in a digital engineering managed services context.

You’ll own architecture across build-and-run engagements, emphasize run readiness, security and scalable cloud-native patterns in a hybrid EY environment.

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 and runtimes.
• Prototype and spike solutions to validate architectural decisions early.
• Define and evolve reference architectures for AI-enabled products and ADRs.
• Author ADRs, sequence flows, deployment diagrams and non-functional requirements.
• Lead technical workshops with client architects and engineers.
• Explain architectural tradeoffs to tech and non-tech stakeholders.
• Support solutioning and proposals through architecture design and delivery approaches.

Skills

Hands-on software engineering

Cloud-native design

AI-enabled features

Code & pipelines

Technical leadership

Education

Bachelor's degree in CS/Engineering

Tools

Azure

AWS

GCP

Containers

Job description

EY is seeking a hands-on Solution Architect to design, prototype and build AI-enabled applications and digital products. You will lead architecture design, code reviews and proofs-of-concept, guiding engineering teams through complex technical decisions in a digital engineering managed services context.

You’ll own architecture across build-and-run engagements, emphasize run readiness, security and scalable cloud-native patterns in a hybrid EY environment.