Solution Architect
US$139,000 – US$255,000 / yr base salary
Posted 6 Oct 2026
Advertised as “Consulting - Managed Services - AI Enabled Solution Architect - Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$139,000 – US$255,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
This role is for a hands‑on Solution Architect who designs, prototypes and builds modern, AI‑enabled applications and digital products. You will spend the majority of your time designing architectures, writing and reviewing code, building proofs‑of‑concept, and guiding engineering teams through complex technical decisions. This position emphasizes technical depth, engineering judgment, and architecture ownership across build‑and‑run engagements in Digital Engineering Managed Services.
Your key responsibilities
Hands‑on solution architecture & design
- 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.
AI‑accelerated build leadership
- Work directly in codebases alongside engineers to set patterns, unblock delivery and raise technical quality.
- Leverage AI coding and testing tools to accelerate development while enforcing clean architecture, security and maintainability.
- Review AI‑generated code, tests and documentation; apply engineering judgment to validate correctness and risk.
- Guide teams on effective prompt design, context management and reuse of AI accelerators.
Non‑functional architecture & reliability
- Define performance, scalability, resilience, observability and operability requirements up front.
- Design for reliability using SLOs/SLIs, telemetry, graceful degradation and incident readiness.
- Embed security‑by‑design, Zero Trust principles and Responsible AI controls into solution designs.
- Ensure solutions are production‑ready with runbooks, automation and clear support handoffs.
Build‑to‑run ownership (Managed Services)
- Architect solutions that transition cleanly into long‑term managed operations.
- Design CI/CD pipelines, environment strategies and release automation with operational simplicity in mind.
- Balance speed of delivery with sustainability, cost transparency and service SLAs.