CT Engineering - Senior Domain Architect AI - EY GDS
Ernst and Young1 month ago
Buenos Aires, ArgentinaStaff+
Responsibilities
- Define EY Fabric AI reference architectures for AI Factory, OpenAI integrations, GenAI workloads, model orchestration, agentic patterns, retrieval-based approaches, deployment, evaluation, monitoring, and lifecycle management.
- Create reusable AI design patterns, accelerators, implementation blueprints, starter kits, integration templates, deployment patterns, evaluation frameworks, monitoring patterns, prompts, and handoff packs.
- Establish responsible AI guardrails for access controls, data boundaries, auditability, monitoring, human oversight, operational risk, security, privacy, cost, reliability, and observability.
- Partner with Product, Engineering, Security, Risk, Reliability, Growth, and delivery teams to align post-sales patterns with platform and governance expectations.
- Serve as the senior escalation point for complex AI architecture questions and convert recurring implementation challenges into reusable patterns and playbooks.
- Govern exceptions to standard AI patterns and determine when new supported patterns are required.
- Maintain architecture assets in GitHub, SharePoint, Teams, and internal knowledge repositories.
- Measure pattern adoption, reduction in bespoke builds, implementation speed, operational quality, and accelerator reuse.
- Mentor mid-level AI Architects, AI Architects, and senior engineers while building post-sales AI architecture maturity.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or equivalent experience.
- 10+ years of engineering experience with recent GenAI architecture experience and significant AI, ML, GenAI, or platform delivery experience.
- Strong experience designing and governing production AI, ML, or GenAI systems.
- Experience building reusable AI patterns, accelerators, technical standards, or implementation playbooks.
- Knowledge of AI Factory concepts, OpenAI-style integrations, model orchestration, RAG patterns, evaluation, monitoring, and lifecycle management.
- Strong cloud architecture fundamentals, including identity, networking, security, logging, and observability.
- Understanding of responsible AI, data governance, security, risk, and operational controls.
- Ability to communicate architecture decisions, tradeoffs, and risks to technical and executive stakeholders.
- Ability to work across Product, Engineering, Security, Risk, Growth, and delivery teams.
- AI, cloud architecture, security, or data certifications are preferred.
Categories
AI ApplicationsSolutions Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.