Managed Services AI-Native Software Engineer Senior Consultant

The opportunity

This role is for a handson Solution Architect who designs prototypes and builds modern AIenabled applications and digital products. You will spend the majority of your time designing architectures writing and reviewing code building proofsofconcept and guiding engineering teams through complex technical decisions. This position emphasizes technical depth engineering judgment and architecture ownership across buildandrun engagements in Digital Engineering Managed Services.

Your key responsibilities
Handson solution architecture & design

Design endtoend 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 AIenabled products including RAG patterns vector search prompt orchestration evaluation and guardrails.

Author Architecture Decision Records (ADRs) sequence flows deployment diagrams and nonfunctional requirements.

AIaccelerated 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 AIgenerated 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.

Nonfunctional 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 securitybydesign Zero Trust principles and Responsible AI controls into solution designs.

Ensure solutions are productionready with runbooks automation and clear support handoffs.

Buildtorun ownership (Managed Services)

Architect solutions that transition cleanly into longterm 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 semitechnical stakeholders.

Support solutioning and proposals primarily through architecture design estimates and delivery approaches.

Skills and attributes for success
Strong handson background in software engineering and modern application architectures.

Deep understanding of cloudnative design APIs integration patterns and data architectures.

Practical experience building AIenabled features (prompting RAG embeddings evaluation).

Comfort working directly in code infrastructure and pipelinesnot just producing diagrams.

Clear technical communication and a bias toward building to learn.

Ideally youll 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 modelrisk considerations.

Relevant cloud security or architecture certifications (a plus not required).

Qualifications

Bachelors degree in Computer Science Engineering or related discipline (or equivalent experience).

Typically 8 years in engineering and solution architecture roles with recent handson 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 AIenabled delivery techniques stay close to the code and help teams move faster without sacrificing trust quality or security.

What we offer you

Handson ownership of complex AIforward 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 (nonnegotiable)

Follow EY and client policies for data protection privacy and confidentiality.

Ensure all AIenabled components are evaluated monitored and governed.

Maintain human accountability for architecture decisions and production readiness.

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