Data And Ai Specialist - Agentic Tax Processes And Platforms

The opportunityEY’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 PurposeThe 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 understandingData architecture and engineeringApplied AI and agent orchestrationIt ensures that agents are fed with trusted, timely, well?structured data and are deployed in a way that scales across clients and platforms.Key ResponsibilitiesAgentic Workflow & AI DesignDesign agentic workflows for tax processes, including:task?level agent responsibilitiesagent?to?agent communication patternshuman?in?the?Loop and escalation modelsfeedback loops and agent performance monitoring and evaluationsDefine reusable agent blueprints aligned to Lean?derived task definitionsApply leading edge agentic driven design and build methodologies eg. use of Codex, Factory ai, GitHub Copilot.Data Architecture & AI?Ready Data ProductsBuild of AI?ready data marts that:expose tax data at the right grainmaintain lineage and quality controlssupport deterministic and probabilistic reasoningBuild data ingestion and transformation from:ERP systemstax platformssemi?structured documentsexternal data sourcesAgent Governance & SecurityBuild embedded agent and workflow governance and security:Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365)Design and embed real time controls and risk monitoringRequired Experience & Background6+ 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 modellingdata governance and qualitylarge?scale data integrationHands?on experience applying AI/ML or advanced analytics in production environmentsProficient 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 ExperienceBachelor’s degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.Prior work in Tax Technology or Finance platformsExperience with agentic AI concepts, orchestration, or workflow?driven automationExposure to cloud?based data platforms and modern AI stacksSuccess MeasuresQuality and reusability of AI?ready data martsStability and scalability of agent deploymentsSpeed from Lean design to working agentReuse of assets across clients and service linesTo help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability?related adjustments or accommodations you may need.#J-*****-Ljbffr

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 Lean design to working agent Reuse of assets across clients and service lines To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability?related adjustments or accommodations you may need. #J-*****-Ljbffr

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.