Data and AI Specialist - Agentic Tax Processes and Platforms

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The opportunity EY’s Global Tax Centre of Excellence Data & AI team play a prominent role in leading client transformation initiatives that leverage Data & AI as core capabilities.  The CoE seeks to architect reusable patterns and process blueprints to bootstrap scalability across all the EY Tax technology teams in all key markets.   You will have an existing opportunity to stay on the leading edge of technology development and to contribute to the successful transformation of EY tax and its clients.   Role Purpose The Data & AI Specialist role is responsible for supporting the Data & AI Leader of Agentic Tax Processes & Platforms in the design, architecting and build of agentic tax workflows, underpinned by AI‑ready data products and robust data engineering.   This role sits at the intersection of:

Tax domain understanding Data architecture and engineering Applied AI and agent orchestration

It ensures that agents are fed with trusted, timely, well‑structured data and are deployed in a way that scales across clients and platforms.   Key Responsibilities Agentic Workflow & AI Design

task‑level agent responsibilities agent‑to‑agent communication patterns human‑in‑the‑Loop and escalation models feedback loops and agent performance monitoring and evaluations

Define reusable agent blueprints aligned to Lean‑derived task definitions Apply leading edge agentic driven design and build methodologies eg.  use of Codex, Factory ai, GitHub Copilot.

Data Architecture & AI‑Ready Data Products

expose tax data at the right grain maintain lineage and quality controls support deterministic and probabilistic reasoning

ERP systems tax platforms semi‑structured documents external data sources

Agent Governance & Security

Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365) Design and embed real time controls and risk monitoring

Required Experience & Background

6+ years’ experience across data architecture, data engineering, and analytics including building SQL database, database designing and data modelling. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.  Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Strong grounding in:

data modelling data governance and quality large‑scale data integration

Hands‑on experience applying AI/ML or advanced analytics in production environments Proficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Excellent problem-solving skills and unsatiable desire to learn and keep up with technology developments. Strong critical thinking and analytical mindset in terms of taking abstract and complex concepts and being able to structure and translate them into clear insights, requirements and solutions.

Desirable Experience

Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.  Prior work in Tax Technology or Finance platforms Experience with agentic AI concepts, orchestration, or workflow‑driven automation Exposure to cloud‑based data platforms and modern AI stacks

Success Measures

Quality and reusability of AI‑ready data marts Stability and scalability of agent deployments Speed from