Managed Services - AI-Native Software Engineer - Senior Consultant

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.

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.

Skills and attributes for success
• 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).

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.

What we look for

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.

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