EY
Client Technology - Architecture - Lead Software & AI Architect
EY, Raleigh, North Carolina, United States, 27601
Client Technology - Architecture - Lead Software & AI Architect
At EY, we’re shaping the future with confidence and confidence. Join EY to build a better working world, fuel innovation, and drive AI transformation. Overview
EY Client Technology seeks a Lead Architecture Architect to design scalable, cloud‑native, agentic AI systems for business‑critical global products. The role blends strategic vision, hands‑on implementation, and collaboration across engineering, product, AI safety, and operations. Responsibilities
Build relationships with business partners to translate strategy into architecture blueprints and product roadmaps, including agentic AI solutions. Own the technology, architecture, and design landscape from solutioning to adoption, with deep expertise in distributed systems, containerization, orchestration, agent frameworks, and security patterns. Design and implement enterprise‑scale distributed and agentic AI solutions using modern protocols (REST, GraphQL, MCP, A2A), Kubernetes, event‑driven architecture, OAuth 2.0/OpenID Connect, and guardrails (NeMo Guardrails, Guardrails AI). Lead engineering teams, set technology direction, act as the critical glue among Engineering, Product, AI Safety, and Operations, and drive end‑to‑end delivery. Conduct technical feasibility assessments, vendor evaluations, proof of concepts, and present solution options to business stakeholders. Collaborate with AI engineers, prompt engineers, AI safety specialists, data scientists, platform teams, and infosec to deliver compliant, secure, AI‑governed architectures. Provide leadership in reusable component libraries, containerized services, agent templates, reasoning patterns, and observability via Open Telemetry. Coach, mentor, and support development teams, ensuring artifact quality, security standards, and AI safety compliance through code reviews, prompt reviews, and architecture validation. Operate as the architecture elevator, connecting boardroom strategy with server room implementation across distributed global teams. Qualifications
Led global engineering teams and architects, driving large, complex portfolios and embedding enterprise‑wide architecture governance. Expert proficiency in C#, Java, JavaScript, TypeScript, or Python, with a proven record of designing enterprise‑scale AI‑powered systems. Hands‑on experience with web APIs (REST, GraphQL), containerization (Docker, Kubernetes), event‑driven patterns, OAuth 2.0/OpenID Connect, MCP, and A2A communication frameworks. Architecture leadership skills with advanced understanding of modern architecture patterns and proven execution on large‑scale implementations. Deep experience in application integration, cloud infrastructure architecture, data pipelines, security, and delivery of functional and non‑functional platform capabilities. Comprehensive knowledge of containerization, orchestration, event‑driven systems, message queuing, and enterprise security patterns. Strong background in security best practices, enterprise compliance, and regulatory standards in enterprise environments. Agentic AI & Advanced AI Systems
2+ years of hands‑on experience architecting enterprise‑scale agentic AI systems, including multi‑agent orchestration platforms serving significant user bases. Major agent frameworks: LangChain/LangGraph, Microsoft AutoGen, Semantic Kernel, and Microsoft Agent Framework (at least two frameworks in production). Expertise in agent communication protocols: MCP, A2A, AG‑UI, OpenAPI, JSON‑RPC, SSE, WebSockets. Advanced reasoning techniques: ReAct, CoT, ToT, planning patterns, and multi‑plan selection. Experience with NeMo Guardrails, Guardrails AI, Azure AI Content Safety, and multi‑layer guardrails implementation. Proficiency in LLM evaluation frameworks (DeepEval, RAGAS, LangSmith) and observability for multi‑agent systems. Expert‑level skills in RAG, Agentic RAG, GraphRAG, Multi‑Modal RAG, and two or more vector databases. Strong background in event‑driven architectures, data streaming, real‑time processing, and microservices platforms. Ideally, You’ll Also Have
Bachelor’s or Master’s Degree in Engineering, Computer Science, Data Science, AI/ML, or related field. 15+ years IT industry experience, 5+ years as an architect, 5+ years leading cross‑functional engineering teams. Relevant certifications (Microsoft Azure Solutions Architect, AWS Solutions Architect, GCP Professional AI Engineer, TOGAF, CKA, CKAD, DeepLearning.AI). Experience with modern development frameworks, container orchestration, API management, and service mesh technologies. What We Look For
Self‑starters with a passion for modern technology innovation, agentic AI, and responsible AI practices. Comfortable working with culturally diverse, global engineering teams and able to balance innovation velocity with safety, governance, and compliance. What We Offer
Competitive base salary ranging from $138,200 to $266,000 in the U.S. with benefits including medical, dental, pension, 401(k), and paid time off. Hybrid work model: 40–60% in‑person with flexible vacation policy and EY Paid Holidays. Apply Today
EY is hiring for this position on an ongoing basis. Apply now to shape your future with confidence. EY is an equal‑employment‑opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other legally protected basis.
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At EY, we’re shaping the future with confidence and confidence. Join EY to build a better working world, fuel innovation, and drive AI transformation. Overview
EY Client Technology seeks a Lead Architecture Architect to design scalable, cloud‑native, agentic AI systems for business‑critical global products. The role blends strategic vision, hands‑on implementation, and collaboration across engineering, product, AI safety, and operations. Responsibilities
Build relationships with business partners to translate strategy into architecture blueprints and product roadmaps, including agentic AI solutions. Own the technology, architecture, and design landscape from solutioning to adoption, with deep expertise in distributed systems, containerization, orchestration, agent frameworks, and security patterns. Design and implement enterprise‑scale distributed and agentic AI solutions using modern protocols (REST, GraphQL, MCP, A2A), Kubernetes, event‑driven architecture, OAuth 2.0/OpenID Connect, and guardrails (NeMo Guardrails, Guardrails AI). Lead engineering teams, set technology direction, act as the critical glue among Engineering, Product, AI Safety, and Operations, and drive end‑to‑end delivery. Conduct technical feasibility assessments, vendor evaluations, proof of concepts, and present solution options to business stakeholders. Collaborate with AI engineers, prompt engineers, AI safety specialists, data scientists, platform teams, and infosec to deliver compliant, secure, AI‑governed architectures. Provide leadership in reusable component libraries, containerized services, agent templates, reasoning patterns, and observability via Open Telemetry. Coach, mentor, and support development teams, ensuring artifact quality, security standards, and AI safety compliance through code reviews, prompt reviews, and architecture validation. Operate as the architecture elevator, connecting boardroom strategy with server room implementation across distributed global teams. Qualifications
Led global engineering teams and architects, driving large, complex portfolios and embedding enterprise‑wide architecture governance. Expert proficiency in C#, Java, JavaScript, TypeScript, or Python, with a proven record of designing enterprise‑scale AI‑powered systems. Hands‑on experience with web APIs (REST, GraphQL), containerization (Docker, Kubernetes), event‑driven patterns, OAuth 2.0/OpenID Connect, MCP, and A2A communication frameworks. Architecture leadership skills with advanced understanding of modern architecture patterns and proven execution on large‑scale implementations. Deep experience in application integration, cloud infrastructure architecture, data pipelines, security, and delivery of functional and non‑functional platform capabilities. Comprehensive knowledge of containerization, orchestration, event‑driven systems, message queuing, and enterprise security patterns. Strong background in security best practices, enterprise compliance, and regulatory standards in enterprise environments. Agentic AI & Advanced AI Systems
2+ years of hands‑on experience architecting enterprise‑scale agentic AI systems, including multi‑agent orchestration platforms serving significant user bases. Major agent frameworks: LangChain/LangGraph, Microsoft AutoGen, Semantic Kernel, and Microsoft Agent Framework (at least two frameworks in production). Expertise in agent communication protocols: MCP, A2A, AG‑UI, OpenAPI, JSON‑RPC, SSE, WebSockets. Advanced reasoning techniques: ReAct, CoT, ToT, planning patterns, and multi‑plan selection. Experience with NeMo Guardrails, Guardrails AI, Azure AI Content Safety, and multi‑layer guardrails implementation. Proficiency in LLM evaluation frameworks (DeepEval, RAGAS, LangSmith) and observability for multi‑agent systems. Expert‑level skills in RAG, Agentic RAG, GraphRAG, Multi‑Modal RAG, and two or more vector databases. Strong background in event‑driven architectures, data streaming, real‑time processing, and microservices platforms. Ideally, You’ll Also Have
Bachelor’s or Master’s Degree in Engineering, Computer Science, Data Science, AI/ML, or related field. 15+ years IT industry experience, 5+ years as an architect, 5+ years leading cross‑functional engineering teams. Relevant certifications (Microsoft Azure Solutions Architect, AWS Solutions Architect, GCP Professional AI Engineer, TOGAF, CKA, CKAD, DeepLearning.AI). Experience with modern development frameworks, container orchestration, API management, and service mesh technologies. What We Look For
Self‑starters with a passion for modern technology innovation, agentic AI, and responsible AI practices. Comfortable working with culturally diverse, global engineering teams and able to balance innovation velocity with safety, governance, and compliance. What We Offer
Competitive base salary ranging from $138,200 to $266,000 in the U.S. with benefits including medical, dental, pension, 401(k), and paid time off. Hybrid work model: 40–60% in‑person with flexible vacation policy and EY Paid Holidays. Apply Today
EY is hiring for this position on an ongoing basis. Apply now to shape your future with confidence. EY is an equal‑employment‑opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other legally protected basis.
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