EY
Client Technology - Architecture - Lead Software & AI Architect
EY, Chicago, Illinois, United States, 60290
Client Technology – Architecture – Lead Software & AI Architect
Join to apply for the
Client Technology – Architecture – Lead Software & AI Architect
role at
EY .
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.
The Opportunity 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.
You Will
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, GraphQL), Model Context Protocol, Agent2Agent 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 agentic AI landscape.
To Qualify for the Role, You Must Have
Led and governed global engineering teams and architects, driving the technology and architecture landscape of large and complex portfolios of products/solutions/projects.
Expert‑level proficiency in at least one of the following programming languages: C#, Java, JavaScript, TypeScript, or Python.
Deep hands‑on experience with modern protocols and frameworks including web APIs (REST, GraphQL), containerization (Docker, Kubernetes), event‑driven architecture patterns, enterprise security implementations using OAuth 2.0/OpenID Connect, and emerging AI protocols such as Model Context Protocol (MCP) and Agent‑to‑Agent (A2A).
Architecture leadership skills with advanced understanding and practical experience in modern architecture patterns, with a proven track record in complex, large‑scale implementations serving user bases in the hundreds of thousands or more.
Hands‑on deep experience in architecture including application integration, cloud infrastructure architecture, data pipelines, security architectures, and successful delivery of both functional and non‑functional aspects of platforms using cloud‑native services and automated deployment pipelines.
Comprehensive knowledge of modern enterprise technologies including microservices architectures, containerization, event‑driven systems, message queuing, and enterprise security patterns.
Deep understanding of distributed system architectures, multi‑service systems, API gateway patterns, and the ability to design scalable systems with load balancing, caching strategies, and fault tolerance.
Expert knowledge of data management including relational and NoSQL databases, data streaming platforms, real‑time data processing, and data governance.
Strong background in security best practices, enterprise compliance requirements, and regulatory standards in enterprise environments.
Agentic AI & Advanced AI Systems
2+ years of hands‑on experience architecting and implementing enterprise‑scale agentic AI systems, with a proven track record in designing and deploying multi‑agent systems and AI orchestration platforms.
Expert‑level proficiency in major agent frameworks, including LangChain/LangGraph and Microsoft Ecosystem (AutoGen for multi‑agent systems, Semantic Kernel, migration to Microsoft Agent Framework).
Expertise in agent communication protocols and standards: Model Context Protocol, Agent2Agent Protocol, AG‑UI event‑based protocols, OpenAPI, JSON‑RPC, Server‑Sent Events, and WebSockets.
Knowledge of advanced reasoning techniques with production implementation experience: ReAct, Chain‑of‑Thought, Tree of Thoughts.
Hands‑on experience with AI safety frameworks and guardrail implementation: NeMo Guardrails, Guardrails AI, Azure AI Content Safety, and multi‑layer guardrail strategies.
Experience with LLM evaluation frameworks: DeepEval, RAGAS, LangSmith.
Production observability implementation: trace‑level tracking, cost attribution, token counting, prompt version control, real‑time monitoring, and user feedback loops.
Expert‑level skills in RAG architectures: Agentic RAG, GraphRAG, Multi‑Modal RAG, with experience using vector databases.
Proven experience designing and implementing multi‑agent systems, including coordination mechanisms, inter‑agent messaging, shared knowledge bases, task delegation, and orchestration patterns.
Cost optimization expertise for agentic AI systems.
Demonstrated passion for AI technologies and eagerness to integrate them thoughtfully into architectural decisions.
Ideally, You’ll Also Have
Bachelor’s or Master’s Degree in Engineering, Computer Science, Data Science, AI/ML, Mathematics, or related technical field.
15+ years overall IT industry experience, and 5+ years in architect roles.
Relevant certifications such as Microsoft Azure Solutions Architect, Microsoft Azure AI Engineer Associate, AWS Solutions Architect, Google Cloud Professional Architect, TOGAF, Kubernetes certifications, DeepLearning.AI specializations, or emerging distributed systems architecture certifications.
Experience with modern development frameworks and tools such as container orchestration platforms, API management tools, service mesh technologies.
Thought leadership in technology and agentic AI – presenting ideas, research papers, and concept papers.
Experience in designing and implementing business use‑cases using low‑code/no‑code platforms, data reporting, governance, mobile applications, and deep cloud security concepts.
Experience with specialized agentic AI capabilities: multi‑modal agents, code generation agents, domain‑specific agents.
Knowledge of enterprise security including OAuth 2.0/OpenID Connect, API security, container security, and secure deployment practices.
What We Look For We want people who are self‑starters with a passion for modern technology innovation and agentic AI innovation, who can take initiative in rapidly evolving technology landscapes and drive digital transformation and AI transformation initiatives.
What We Offer You
We offer a comprehensive compensation and benefits package and a base salary range of $138,200 to $266,000 in the U.S., with higher ranges for major metros.
Join us in a team‑led and leader‑enabled hybrid model; expect 40‑60% in‑person work in external, client‑serving roles.
Under our flexible vacation policy, you decide how much vacation time you need based on your personal circumstances.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/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. If you have a disability and need assistance applying online or request an accommodation, please call 1-800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
EY | Building a better working world – EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
#J-18808-Ljbffr
Client Technology – Architecture – Lead Software & AI Architect
role at
EY .
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.
The Opportunity 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.
You Will
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, GraphQL), Model Context Protocol, Agent2Agent 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 agentic AI landscape.
To Qualify for the Role, You Must Have
Led and governed global engineering teams and architects, driving the technology and architecture landscape of large and complex portfolios of products/solutions/projects.
Expert‑level proficiency in at least one of the following programming languages: C#, Java, JavaScript, TypeScript, or Python.
Deep hands‑on experience with modern protocols and frameworks including web APIs (REST, GraphQL), containerization (Docker, Kubernetes), event‑driven architecture patterns, enterprise security implementations using OAuth 2.0/OpenID Connect, and emerging AI protocols such as Model Context Protocol (MCP) and Agent‑to‑Agent (A2A).
Architecture leadership skills with advanced understanding and practical experience in modern architecture patterns, with a proven track record in complex, large‑scale implementations serving user bases in the hundreds of thousands or more.
Hands‑on deep experience in architecture including application integration, cloud infrastructure architecture, data pipelines, security architectures, and successful delivery of both functional and non‑functional aspects of platforms using cloud‑native services and automated deployment pipelines.
Comprehensive knowledge of modern enterprise technologies including microservices architectures, containerization, event‑driven systems, message queuing, and enterprise security patterns.
Deep understanding of distributed system architectures, multi‑service systems, API gateway patterns, and the ability to design scalable systems with load balancing, caching strategies, and fault tolerance.
Expert knowledge of data management including relational and NoSQL databases, data streaming platforms, real‑time data processing, and data governance.
Strong background in security best practices, enterprise compliance requirements, and regulatory standards in enterprise environments.
Agentic AI & Advanced AI Systems
2+ years of hands‑on experience architecting and implementing enterprise‑scale agentic AI systems, with a proven track record in designing and deploying multi‑agent systems and AI orchestration platforms.
Expert‑level proficiency in major agent frameworks, including LangChain/LangGraph and Microsoft Ecosystem (AutoGen for multi‑agent systems, Semantic Kernel, migration to Microsoft Agent Framework).
Expertise in agent communication protocols and standards: Model Context Protocol, Agent2Agent Protocol, AG‑UI event‑based protocols, OpenAPI, JSON‑RPC, Server‑Sent Events, and WebSockets.
Knowledge of advanced reasoning techniques with production implementation experience: ReAct, Chain‑of‑Thought, Tree of Thoughts.
Hands‑on experience with AI safety frameworks and guardrail implementation: NeMo Guardrails, Guardrails AI, Azure AI Content Safety, and multi‑layer guardrail strategies.
Experience with LLM evaluation frameworks: DeepEval, RAGAS, LangSmith.
Production observability implementation: trace‑level tracking, cost attribution, token counting, prompt version control, real‑time monitoring, and user feedback loops.
Expert‑level skills in RAG architectures: Agentic RAG, GraphRAG, Multi‑Modal RAG, with experience using vector databases.
Proven experience designing and implementing multi‑agent systems, including coordination mechanisms, inter‑agent messaging, shared knowledge bases, task delegation, and orchestration patterns.
Cost optimization expertise for agentic AI systems.
Demonstrated passion for AI technologies and eagerness to integrate them thoughtfully into architectural decisions.
Ideally, You’ll Also Have
Bachelor’s or Master’s Degree in Engineering, Computer Science, Data Science, AI/ML, Mathematics, or related technical field.
15+ years overall IT industry experience, and 5+ years in architect roles.
Relevant certifications such as Microsoft Azure Solutions Architect, Microsoft Azure AI Engineer Associate, AWS Solutions Architect, Google Cloud Professional Architect, TOGAF, Kubernetes certifications, DeepLearning.AI specializations, or emerging distributed systems architecture certifications.
Experience with modern development frameworks and tools such as container orchestration platforms, API management tools, service mesh technologies.
Thought leadership in technology and agentic AI – presenting ideas, research papers, and concept papers.
Experience in designing and implementing business use‑cases using low‑code/no‑code platforms, data reporting, governance, mobile applications, and deep cloud security concepts.
Experience with specialized agentic AI capabilities: multi‑modal agents, code generation agents, domain‑specific agents.
Knowledge of enterprise security including OAuth 2.0/OpenID Connect, API security, container security, and secure deployment practices.
What We Look For We want people who are self‑starters with a passion for modern technology innovation and agentic AI innovation, who can take initiative in rapidly evolving technology landscapes and drive digital transformation and AI transformation initiatives.
What We Offer You
We offer a comprehensive compensation and benefits package and a base salary range of $138,200 to $266,000 in the U.S., with higher ranges for major metros.
Join us in a team‑led and leader‑enabled hybrid model; expect 40‑60% in‑person work in external, client‑serving roles.
Under our flexible vacation policy, you decide how much vacation time you need based on your personal circumstances.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/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. If you have a disability and need assistance applying online or request an accommodation, please call 1-800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
EY | Building a better working world – EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
#J-18808-Ljbffr