The AI Automation Engineer at EY will play a crucial role in helping clients navigate the complexities of AI, data, and analytics. This position is part of the Government and Infrastructure practice, focusing on delivering innovative solutions to federal, state, local, and education clients. The engineer will design and operate automated systems that analyze large legacy application portfolios, transforming raw data into actionable insights. This role offers significant opportunities for professional growth and skill enhancement in a high-visibility area.

• Must have a Bachelor's degree in computer science, software engineering, information systems, computer engineering or a related field, or equivalent practical experience.
• Must be eligible to obtain and maintain a Secret Clearance.
• 2-3+ years of software, data or ML engineering experience, including architecting and delivering production AI/ML systems.
• Must be comfortable working in-person as needed in the Washington, DC area.

• Build and operate automated ingestion pipelines for source code repositories and technical documentation.
• Develop static-analysis and LLM-assisted extraction to identify application components and dependencies.
• Implement retrieval-augmented generation and hybrid search over portfolio evidence for client queries.
• Load extracted entities into graph and relational data stores to support dependency analysis.
• Design human-in-the-loop review points to maintain traceability of AI-supported findings.
• Produce technical documentation and knowledge-transfer materials for the capabilities built.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.