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# Consulting - Managed Services - AI Enabled Solution Architect - Manager

- **Company:** Ernst & Young LLP
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $139,100.0 - $254,900.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Generation, Data Architecture, Fault Tolerance, AI-enabled Products, Zero Trust Network Access, Search Technologies, Systems Integration, Retrieval-Augmented Generation, Information Technology, Prompt Orchestration
- **Published:** October 6, 2026
- **Apply:** https://dejobs.org/x/x/95E66B3BA3A847A38916A70F5F0D9200/job/

## About the Role

* Deep understanding of cloud-native design, APIs, integration patterns and data architectures.
 * Practical experience building AI-enabled features (prompting, RAG, embeddings, evaluation).
 * Comfort working directly in code, infrastructure and pipelines-not just producing diagrams.
 * Clear technical communication and a bias toward building to learn.

Ideally, you'll also have

 * Experience with Azure (preferred), AWS or GCP and containerized platforms.
 * Exposure to observability stacks, SRE concepts and incident response.
 * Experience architecting in regulated environments with privacy, security or model-risk considerations.
 * Relevant cloud, security or architecture certifications (a plus, not required)., * 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.

## Description

* 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.

Client collaboration & technical leadership

 * Lead technical workshops and whiteboarding sessions with client architects and engineers.
 * Explain architectural tradeoffs clearly to technical and semi-technical stakeholders.
 * Support solutioning and proposals primarily through architecture design, estimates and delivery approaches., We look for architects who lead by building. You combine strong engineering fundamentals with modern AI-enabled delivery techniques, stay close to the code, and help teams move faster without sacrificing trust, quality or security.

What we offer you

 * Hands-on ownership of complex, AI-forward digital products and platforms.
 * Access to modern engineering stacks, AI tooling and global Digital Engineering expertise.
 * Continuous learning, certification support and opportunities to shape reusable EY assets.
 * Flexible work arrangements within a collaborative, inclusive culture.

Responsible use of AI tools (non-negotiable)

 * Follow EY and client policies for data protection, privacy and confidentiality.
 * Ensure all AI-enabled components are evaluated, monitored and governed.
 * Maintain human accountability for architecture decisions and production readiness.