Location: Dublin 2
Other locations: Primary Location Only
Salary: Competitive
Requisition ID: 1726063

At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Your Key Responsibilities:
- Strategy & POV: Shape technical policies and architecture for AI and autonomous systems to strengthen competitive advantage.
- Client Consulting: Lead executive workshops to identify high-value AI use cases, assess readiness, and create ethical adoption roadmaps. Collaborate with stakeholders to align architecture with strategy.
- Solution Structuring: Turn business challenges into actionable technical plans compliant with data governance and security standards.
- Pre-Sales: Act as subject matter expert, supporting sales teams in structuring and estimating complex AI projects.
- Practice Enablement: Integrate AI practice across competencies by leading training and platform expertise development.
- Agent Design: Architect multi-step autonomous agent systems using LLMs, vector databases, and orchestration frameworks with a focus on scale and reliability.
- Architecture Governance: Set technical standards and QA processes for AI and MLOps workflows.
- Tooling Evaluation: Recommend AI tools and platforms based on performance and cost.
- Ethical Oversight: Ensure AI strategies and systems follow ethical principles and minimize risks like bias and privacy issues.
- Documentation: Keep thorough, accurate records of methodologies, architectures, and recommendations.
- As a key team member, foster a positive learning culture by coaching junior staff and sharing best practices and industry knowledge.
To qualify for the role, you must have:
- Background in Technical Consulting or Professional Services, with a proven track record as a billable, client-facing specialist.
- Advanced skills in designing and deploying production-ready AI solutions and Large Language Model (LLM) workflows.
- Proven experience in building and orchestrating autonomous AI agents encompassing reasoning, tool utilization, and multi-step planning.
- Expert proficiency in leading AI frameworks.
- Comprehensive knowledge of cloud computing platforms such as AWS, Azure, or GCP, and related MLOps tools.
- Preferred experience with low-code/no-code AI agent builder platforms (e.g., Flowise, LlamaIndex).
- Exceptional interpersonal and communication abilities.