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EY

Client Technology - Architecture - Lead Software & AI Architect

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Client Technology - Architecture - Lead Software & AI Architect at EY

A senior role focused on delivering scalable, cloud‑native and agentic AI solutions that support EY’s global product portfolio. The Lead Architect will own end‑to‑end design, governance, and delivery of complex, distributed systems in a multi‑disciplinary environment.

The Opportunity

As part of EY Client Technology’s Engineering Architecture Practice, the Lead Architect will define and deliver architectures for business‑critical products and platforms, ensuring scalability, reliability, observability and adherence to EY strategic objectives.

Responsibilities

  • Build relationships across the business to understand requirements and help shape product roadmaps, including agentic AI solutions.
  • Translate business strategy into architecture blueprints, incorporating modern distributed systems patterns, microservices, agent orchestration, and cloud‑native design.
  • Own the technology landscape from solutioning to adoption, with deep expertise in distributed systems, containerization, orchestration, agent frameworks, security patterns, and AI guardrails.
  • Design and implement enterprise‑scale distributed and agentic AI solutions using REST/GraphQL, IPC protocols (MCP, A2A), Kubernetes, event‑driven architectures, OAuth 2.0/OpenID Connect, NeMo Guardrails, and Guardrails AI.
  • Lead engineering teams on portfolios, set technology direction, and act as the glue between Engineering, Product Management, AI Safety, and Operations.
  • Solve complex problems by ideating new system approaches, conducting feasibility assessments, evaluating vendors, building proofs of concept, and presenting options to business stakeholders.
  • Work with cross‑disciplinary teams—engineers, AI engineers, prompt engineers, data scientists, infosec—to deliver compliant, secure, and governed solutions aligned with OWASP GenAI Top 10.
  • Create reusable assets (APIs, containers, agent templates, tooling libraries) for enterprise reuse.
  • Support product and project managers with forecasting, cost estimation, and resource planning for new platforms.
  • Coach and mentor development teams on architecture standards, quality, security, AI safety, and code/review processes.
  • Provide technical leadership that aligns business and engineering, mediating conflicts and building consensus.
  • Communicate complex technical concepts to business and engineering stakeholders and maintain industry awareness of emerging AI, agent, and distributed system trends.

Qualifications

  • Architecture & Leadership
    • Led global engineering teams and architecture programs with measurable adoption and success.
    • Expert in at least one programming language (C#, Java, JavaScript, TypeScript, Python) and able to implement AI‑powered systems.
    • Proficient with web APIs, Docker/Kubernetes, event architecture, OAuth 2.0/OpenID Connect, and emerging AI protocols (MCP, A2A).
    • Demonstrated architectural leadership, pattern mastery, and delivery of large‑scale distributed solutions.
    • Extensive experience in application integration, cloud infrastructure, data pipelines, security architecture, DevSecOps, and automated deployments.
  • Agentic AI & Advanced AI Systems
    • 2+ years in designing and deploying multi‑agent and AI orchestration platforms.
    • Expertise in LangChain/LangGraph, Microsoft Agent Framework, and at least two agent orchestration frameworks.
    • Knowledge of conversational protocols (MCP, A2A, AG‑UI, OpenAPI, JSON‑RPC, SSE, WebSockets).
    • Experience with reasoning patterns such as ReAct, CoT, ToT and planning patterns.
    • Skilled in AI safety, guardrails, NeMo Guardrails, Guardrails AI, and enterprise safety practices.
    • Proficiency in LLM evaluation, RAG architectures, vector databases, and agent memory architectures.
    • Proven cost optimization for token usage and model selection.
  • Ideally, You’ll Also Have
    • Bachelor’s or Master’s in Engineering, CS, Data Science, AI/ML or related field.
    • 15+ years IT experience, 5+ years in architect roles, leading cross‑functional teams.
    • Relevant certifications (Azure Solution/AI, AWS, GCP, TOGAF, CKA/CKAD, DeepLearning.AI).
    • Design experience with low‑code/no‑code, data reporting, mobile platforms, and cloud security.
    • Thought leadership: speaking at conferences, publishing papers, contributing to open source.
    • Specialized agentic AI capabilities (multi‑modal, code‑generation, domain‑specific).
    • Knowledge of OAuth 2.0/OpenID Connect, container security, and secure deployment.
  • What We Look For
    • Self‑starter with a passion for modern technology and agentic AI innovation.
    • Comfortable with diverse, global teams and possible travel for conferences or client engagements.
    • Deep commitment to AI safety, responsible AI, and regulatory compliance.

What We Offer You

Competitive compensation ($138,200–$266,000 in the U.S.; higher ranges for NYC, WA, CA) combined with a comprehensive benefits package that includes medical, dental, pension, 401(k), and paid time off. Flexible hybrid work model and a culture of innovation, learning, and impact.

Equal Employment Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an ongoing basis.

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