AI & Agentic Platform Architect Lead

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

We are seeking an accomplished Associate Director - AI & Agentic Platform Architect to lead the architecture, engineering and operational evolution of enterprise-scale AI platforms that drive intelligent operations and digital employee experiences.

This role spans the complete Build → Deploy → Operate → Improve lifecycle and requires deep expertise across Agentic AI, Generative AI, Enterprise Application Architecture, Data & Knowledge Platforms, Automation, Observability and AI Operations.

As a key technology leader, you will be responsible for defining the enterprise architecture strategy for AI-powered platforms, designing scalable and resilient solutions, and ensuring successful adoption and operation of AI capabilities at enterprise scale. You will work across business, engineering, architecture and operations teams to transform emerging AI technologies into secure, governed and production-ready solutions that deliver measurable business value.

Success in this role requires a proven ability to architect, build and operate secure, resilient and highly available enterprise products at scale while driving innovation, operational excellence and enterprise adoption of AI-powered solutions.

Your key responsibilities

• Own the end-to-end architecture vision, standards and technical strategy for enterprise AI and Agentic AI solutions.
• Design single-agent and multi-agent architectures encompassing orchestration, reasoning, collaboration, memory, context management, tool integration and human-in-the-loop controls.
• Architect AI-powered operational capabilities that observe, correlate, diagnose, predict, prevent and resolve technology issues.
• Design intelligent conversational experiences capable of understanding user and technology context, diagnosing issues and safely initiating actions.
• Architect enterprise knowledge and intelligence platforms leveraging structured and unstructured data, operational telemetry, Retrieval-Augmented Generation (RAG), semantic and hybrid retrieval, and knowledge graph technologies.
• Define Generative AI architecture covering model strategy, model routing, grounding, context engineering, evaluation frameworks, guardrails and performance optimization.
• Architect scalable enterprise applications utilizing distributed systems, microservices, APIs, event-driven architectures and cloud-native engineering patterns.
• Establish reusable integration patterns across enterprise applications, operational systems, data platforms and automation services.
• Define architecture standards for identity, security, privacy, Responsible AI, explainability, auditability and governance.
• Establish engineering standards covering scalability, availability, resilience, performance, maintainability and security.
• Lead architecture governance, technology evaluations, design reviews and strategic build-versus-buy decisions.
• Provide technical leadership, mentorship and guidance across architecture, engineering and platform teams.
• Provide technical leadership across the full product lifecycle, from engineering and release management through production operations and continuous improvement.
• Ensure enterprise AI services consistently meet availability, reliability, performance, scalability and service-level objectives.
• Establish end-to-end observability across applications, infrastructure, data platforms, AI models and agent workflows.
• Drive incident management, problem management and reliability engineering practices, including root-cause analysis and prevention of recurring production issues.
• Establish operational readiness frameworks covering release governance, capacity planning, resilience validation and disaster recovery.
• Define and implement AIOps, LLMOps and AgentOps practices covering quality, performance, latency, evaluation, telemetry, failure management and cost optimization.
• Utilize operational insights to continuously improve platform architecture, engineering quality, user experience and business outcomes.
• Engage, influence and manage senior technology and business stakeholders, including CTO-level leaders, to align AI platform strategy, architecture decisions and delivery priorities with enterprise objectives.
• Lead, mentor and develop high-performing teams, providing people leadership, coaching, performance guidance and capability-building across architecture, engineering and platform functions.

Skills and attributes for success

• Deep expertise in enterprise architecture, modern application engineering and AI platform design.
• Strong understanding of Agentic AI, Generative AI, multi-agent systems, orchestration frameworks, memory architectures, tool integration and AI evaluation methodologies.
• Proven ability to architect and operate large-scale, highly available and resilient enterprise platforms.
• Expertise in enterprise application architecture, distributed systems, APIs, event-driven architectures and cloud-native engineering.
• Strong understanding of enterprise knowledge platforms, Retrieval-Augmented Generation (RAG), semantic retrieval, hybrid retrieval and knowledge graph architectures.
• Experience establishing observability, reliability engineering, AIOps, LLMOps and AgentOps practices for enterprise platforms.
• Strong understanding of enterprise security, identity management, privacy, governance and Responsible AI principles.
• Exceptional problem-solving and systems-thinking capabilities with the ability to balance innovation, governance and operational excellence.
• Strong communication, stakeholder management and executive engagement skills.
• Demonstrated ability to influence technical direction, lead complex initiatives and mentor high-performing engineering teams.
• Ability to drive solutions from concept through architecture, engineering, production deployment, operations and continuous improvement.

Ideally, you'll also

• Bring strong hands-on experience with .NET / C# and enterprise application architecture.
• Have experience with Microsoft Agent Framework or comparable agent orchestration platforms.
• Have experience with Microsoft Foundry or comparable enterprise AI development, governance and operations platforms.
• Demonstrate experience designing and implementing multi-agent and tool-enabled AI systems.
• Possess experience with cloud-native application development, containerization and orchestration technologies.
• Have experience with enterprise data platforms, lakehouse architectures, knowledge graphs and advanced retrieval technologies.
• Demonstrate experience implementing AIOps, LLMOps, AgentOps, Site Reliability Engineering (SRE) and enterprise observability practices.
• Bring experience working within large, complex and globally distributed enterprise technology environments.

What we look for

We are looking for a builder, architect and operator who understands how AI, Data, Knowledge, Applications, Integration, Automation, Security and Operations come together to form a unified enterprise platform.

The ideal candidate brings a balanced combination of strategic architectural thinking, deep technical expertise and operational excellence. They understand that enterprise-scale Agentic AI requires context, identity, memory, permissions, tools, workflows, observability, evaluation, governance, resilience and human oversight to deliver trusted business outcomes.

Most importantly, we are seeking an individual who can architect, build, deploy, operate and continuously evolve secure, resilient and scalable AI platforms, while driving innovation and enabling enterprise-wide adoption of next-generation intelligent solutions.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.