Client Technology - Architecture - Lead Software & AI Architect

Client Technology – Architecture – Lead Software & AI Architect

Join to apply for the Client Technology – Architecture – Lead Software & AI Architect role at EY
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At EY, we are fueled by strategic investment in technology and innovation, seeking candidates to drive growth by solving complex business problems through a robust platform for business and a powerful product engine. You will work with technologists and business specialists, blending EY's deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise.

We are looking for a candidate who will be part of the Architecture team within the EY Client Technology’s Engineering Architecture Practice. The candidate will define and deliver architectures and designs for business‑critical global products and platforms, focusing on scalable distributed systems, cloud‑native solutions, modern enterprise architectures, and agentic AI systems.

• Build relationships across the business to understand their requirements and strategy, helping them build product/platform roadmaps including agentic AI solutions. Demonstrate architecture leadership to translate business requirements into architecture blueprints and innovative designs incorporating modern distributed systems patterns, microservices architectures, agent orchestration patterns, multi‑agent collaboration frameworks, and cloud‑native solutions.
• Own the overall technology, architecture and design landscape of products/platforms from solutioning to delivery to adoption phases, with deep understanding of distributed systems, containerization, orchestration platforms, agent frameworks, and enterprise security patterns.
• Design and implement enterprise‑scale distributed and agentic AI solutions using modern protocols and frameworks, with expertise in web APIs (REST, Graph
  
  QL), Model Context Protocol, Agent2
  
  Agent Protocol, containerization with Kubernetes, event‑driven architectures, and robust access control mechanisms.
• Potentially lead engineering teams in a portfolio or large product, set the overall technology and architecture direction, and own its end‑to‑end delivery in a lead architect capacity.
• Solve complex problems where scalable solutions may not currently exist, initiating new distributed system approaches, multi‑agent approaches, advanced reasoning patterns, and cutting‑edge technologies.
• Work closely with multi‑disciplinary teams including engineers, AI engineers, prompt engineers, AI safety specialists, data scientists, platform teams, and infosec to deliver modern architectures using optimized delivery approaches, ensuring compliance with enterprise standards, AI governance standards, security policies, and governance guidelines.
• Provide leadership in product delivery to build and consume reusable functional and technical assets, identifying and implementing reusable components, API libraries, containerized services, agent templates, and architectural patterns that can be leveraged across the enterprise.
• Architect and design distributed systems and multi‑agent systems that can seamlessly interact with multiple enterprise systems, APIs, and data sources while maintaining security, AI safety, scalability, and observability.
• Provide support to product and project managers in building plans, forecasts, estimations and costs for new products/platforms, including considerations for infrastructure resources, LLM API costs, token usage optimization, containerization costs, and ongoing platform operational requirements.
• Provide coaching, mentoring and support to development teams during the delivery phase, ensuring that developed artifacts comply with envisioned architecture and design, expected quality, security standards, AI safety standards, and recommended development practices through code reviews and architecture validation processes.
• Demonstrate excellent interpersonal communication and organizational skills required to operate as a leading member of global, distributed engineering teams.
• Cultivate lasting relationships across business, IT, technology vendors, and industry experts to maintain insight into the broader technology landscape and…