What if we didnt focus on who you are now, but who you could become?

Here at EY, you will 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. Join us and build an exceptional experience for yourself, and a better working world for all. 

The exceptional EY experience. It's yours to build.

The opportunity: your next adventure awaits

Technology Consulting business is a fast-growing sub-service line within EYs Consulting service line. A dynamic group focused on providing high-value independent, trusted advice to clients, with a focus on transformation programmes.

EY work with clients in creating value and delivering world-class Digital, Data & IT capabilities to support business needs. Working closely with our industry groups and leveraging the EY brand as independent, trusted advisors, we provide our high-profile clients with a range of services.

We are looking for an experienced AI Architect to design enterprise-grade AI solutions and bridge business strategy, enterprise architecture and technology innovation. You will translate business requirements into end-to-end AI architectures and reusable architecture patterns, guiding initiatives from proof of concept (PoC) through production to scale. Your expertise will span Generative AI, large language models (LLMs), Agentic AI, retrieval-augmented generation (RAG), Machine Learning, Data Engineering and cloud platforms, with a focus on scalability, resilience, security and Responsible AI.

      Your Key Responsibilities:

• Define end-to-end enterprise AI architectures aligned with business strategy, enterprise architecture and technology innovation.
• Design AI solution architectures spanning Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Data Engineering and cloud platforms.
• Translate business requirements into architecture blueprints and reusable patterns covering APIs, integration, data flows and supporting infrastructure.
• Guide AI initiatives from proof of concept through production to scale, ensuring architectural consistency across the AI/LLM lifecycle.
• Design scalable, resilient and secure AI architectures, including APIs, integration and supporting cloud infrastructure.
• Define architectural requirements for MLOps/LLMOps, observability, evaluation, security and Responsible AI across the solution lifecycle.
• Collaborate with business stakeholders, enterprise architects and cross-functional teams to align AI architecture decisions with business needs and guide solution delivery.

• Other cognate duties

To qualify, candidates must have:

• A related bachelor's degree in Computer Science, Information Technology, or a related field or any STEM degree (Science, Technology, Engineering or Mathematics)

• Proven experience as an AI Architect, designing enterprise-grade AI solutions over the last five years.
• Strong expertise in Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Data Engineering and cloud platforms.
• A proven track record of taking AI initiatives from proof of concept (PoC) to production and scale.
• A strong understanding of the AI/LLM lifecycle, MLOps/LLMOps, observability, security and Responsible AI.
• Experience designing scalable, resilient and secure AI architectures, including APIs, integration and supporting infrastructure.
• The ability to translate business requirements into end-to-end AI architectures and reusable architecture patterns.
• The ability to bridge business strategy, enterprise architecture and technology innovation.

Ideally, you will also have

• Experience defining reusable AI architecture patterns for enterprise-wide adoption.
• Experience assessing AI technology choices and architectural trade-offs against business and operational requirements.
• A deep practical understanding of agent architectures, including ReAct and plan-and-execute patterns, tool calling, MCP (Model Context Protocol), context and memory management, and agent evaluation.
• Experience aligning AI architecture standards with enterprise governance, security and Responsible AI requirements.
• A strong understanding of LLMs, embeddings, fine-tuning versus RAG, and evaluation approaches to inform architectural decisions.
• Knowledge of SQL/NoSQL and vector database architectures, and their role in enterprise AI and data solutions.
• Experience with cloud architecture on AWS, Azure or GCP, including containerisation and orchestration using Docker and Kubernetes.

  Good to Have

• Multi-agent orchestration and inter-agent communication patterns (A2A, agent swarms)

• Exposure to architecture patterns for model deployment and fine-tuning open-source models, including LoRA/QLoRA.

• Understanding of AI security concerns (prompt injection, data leakage, agent guardrails)

• Contributions to reusable AI architecture patterns or open-source AI/agent architecture initiatives.

 What We Offer

• Opportunity to shape enterprise-grade AI architectures and guide AI initiatives from concept to production and scale.
• An AI-native culture where modern technology and architecture-led innovation are embraced.

 What we look for

We are looking for an AI Architect who can connect business strategy with enterprise architecture and technology innovation. You will bring a consultative approach to understanding client needs, communicating architectural decisions and guiding cross-functional teams. The ability to challenge the status quo, build stakeholder relationships and define reusable architecture patterns will help you shape AI solutions that can move from proof of concept to production and scale.

If you have a genuine passion for helping businesses achieve their full potential, this role is for you.

If you have the confidence to speak up and influence a team that affects big businesses worldwide, this role is for you.

What working at EY offers

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive remuneration package where youll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer:

• Support, coaching, and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way thats right for you.

 EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

About EY

As a global leader in Assurance, Consulting, Strategy and Transactions, Tax, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, well make our ambition to be the best employer a reality.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

EY will recommend applicants to read our privacy statement prior to completing the pre application form above: https://www.ey.com/en_gl/privacy-statement 

Join us in Shaping the future with confidence. Apply now

Only shortlisted candidates will be contacted.