AI Automation Engineer – Government & Infra

Ernst & Young Advisory Services Sdn Bhd; McLean (VA); Sur place; USD 76 000 - 126 000; Plein temps

Résumé du poste

EY in the Washington, DC area seeks an AI Automation Engineer to design, build, and operate AI and automation capabilities for modern data analytics and portfolio modernization. You will convert complex assets into structured insights driving rationalization and strategic initiatives.

You will collaborate with AI/ML engineers, architects and product teams to deliver scalable, observable solutions. The role requires 2–3+ years of experience and a strong security clearance background.

Qualifications

• 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, leading teams of five or more engineers, and client-facing delivery in federal or regulated environments.
• Must be comfortable working in-person as needed in the Washington, DC area.

Responsabilités

• Develop static-analysis and LLM-assisted extraction to identify application components, technology fingerprints, dependencies, interfaces, data-access patterns and shared database usage.
• Build LLM-based capabilities for code and business-logic summarization, business-capability tagging, functional similarity and duplicate detection to surface consolidation candidates, and technical-debt, security and risk indicators.
• Implement retrieval-augmented generation (RAG) and hybrid search over portfolio evidence so analysts and client stakeholders can query the portfolio in natural language with source citations.
• Load extracted entities and relationships into graph and relational data stores to support dependency analysis, change-impact analysis, cluster detection and modernization wave sequencing.
• Build evaluation harnesses — golden datasets, grounding and faithfulness checks, accuracy measures and regression tests for prompts and agents — and track quality metrics over time.
• Design human-in-the-loop review points and capture reviewer decisions, model and prompt versions, and rationale to maintain end-to-end traceability of AI-supported findings.
• Instrument pipelines for observability, throughput and token/cost consumption, and optimize for performance and cost at portfolio scale.
• Package prompts, agents, tools and pipeline components as reusable, documented assets for subsequent modernization, enhancement and operations work.
• Produce technical documentation, runbooks and knowledge-transfer materials for the capabilities you build.

Connaissances

Generative AI

Cross-functional collaboration

Testing & code reviews

Learning new methods

Problem clarification

Data-driven decision making

Active listening

Communication

Formation

Bachelor's degree in CS/SE/IS/CE

Outils

Tree-sitter

Roslyn

JavaParser

Neo4j / Graph databases

Azure services

LangGraph / LangChain / Semantic Kernel

Description du poste

EY in the Washington, DC area seeks an AI Automation Engineer to design, build, and operate AI and automation capabilities for modern data analytics and portfolio modernization. You will convert complex assets into structured insights driving rationalization and strategic initiatives.

You will collaborate with AI/ML engineers, architects and product teams to deliver scalable, observable solutions. The role requires 2–3+ years of experience and a strong security clearance background.