EY Global Delivery Services (GDS) seeks a Senior AI Engineering Architect to lead enterprise-scale AI strategy and innovation within application security and offensive security. This role involves client engagement, defining AI architecture standards, and guiding organizations in leveraging advanced AI capabilities. The ideal candidate possesses deep technical expertise, architectural vision, and the ability to champion evolving AI technologies.

As a senior technologist, you will drive client discussions, establish enterprise AI architecture standards, and guide organizations through complex problem-solving using AI. While architecture and technology leadership are primary, hands-on prototyping and validation of emerging approaches will also be required to address intricate technical challenges.

Key responsibilities include defining and evolving enterprise AI architectures, frameworks, and engineering standards. You will approve architecture decisions, lead executive client discussions, and shape AI engineering capabilities in application and offensive security. Championing emerging AI technologies like advanced LLM patterns and multi-agent systems is crucial.

Drive innovation through Proof of Concepts (POCs), labs, and reusable assets. Scale enterprise AI platforms and ecosystems, establishing governance models for AI engineering and responsible AI practices. Guide teams on advanced AI implementation, including fine-tuning and optimization, while mentoring architects and engineers to deliver high-quality AI solutions. Contribute to go-to-market strategies and thought leadership.

The role requires 12+ years of experience in AI engineering, architecture, or advanced technology consulting, with a proven track record in leading complex AI transformation initiatives. A Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or a related field is essential.

Preferred cyber experience includes enterprise-scale secure AI architecture strategy with DevSecOps integration or AI-driven threat modeling and offensive security frameworks. Strong proficiency in Python and deep expertise in AI/LLM tools and frameworks are necessary. Familiarity with cloud platforms (Azure preferred), AI platforms, vector databases, and DevOps practices is expected.