Managed Services - AI-Native Software Engineer - Senior Consultant

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.

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.

• 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.

• 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.

• Strong hands-on background in software engineering and modern application architectures.
• 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.

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…