Managed Services - AI-Native Software Engineer - Senior Consultant

EY is a globally connected powerhouse of diverse teams, and they are seeking a Senior Consultant for AI-Native Software Engineering. This role involves designing, prototyping, and building modern AI-enabled applications while guiding engineering teams through complex technical decisions.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• 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
• 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
• 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)
• Prior consulting or complex product delivery experience strongly preferred