Managed Services - Ai - native Software Engineer - Senior Consultant

Solution Architect

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.

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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