AI & Data Platform Architect EY GDS

Job Description: AI & Data Platform Architect

• Location: Buenos Aires - Argentina (Hybrid)
• Clients: USbased Enterprise Clients
• Cloud: Azure AWS or GCP

About the Role

We are actively recruiting an accomplished AI & Data Platform Architect to join our team. This role is for a senior architect with deep experience designing assessing and evolving enterprisescale AI platforms on cloud environments.

The AI Platform Architect will work closely with client stakeholders to assess their current AI platform landscape and operating model define northstar and transition platform architectures and guide the implementation of scalable secure and governed AI platforms.

You will bring a consulting mindset strong technical judgment and flexibility to work across multiple cloud platforms and data management governance and AI technologies.

Key Responsibilities

Platform Architecture & Strategy

• Analyze and document currentstate AI platform architectures across enterprise domains.
• Define northstar target and transition platform architectures aligned to enterprise needs AI use cases and technology strategies.
• Provide architectural guidance and best practices that balance scalability security cost and delivery velocity.

Cloud & Platform Design

• Design AI platforms on Azure AWS or GCP evaluating:
• Compute storage and networking components
• Availability scalability elasticity and fault tolerance
• Disaster recovery and business continuity
• Evaluate singlecloud and multicloud platform architectures based on enterprise standards and constraints.

Data & Platform Capabilities

• Define platform standards and best practices for:
• Data modeling and data management
• ETL/ELT pipelines
• Batch nearrealtime and realtime data processing
• Data serving and analytics enablement
• Design and guide implementation of Data Warehouse Data Lake and Lakehouse components as part of the AI platform.

AI & Generative AI Enablement

• Define and implement platform capabilities to support:
• Machine Learning and Deep Learning workloads
• Generative AI solutions
• LLMbased systems including RAG (RetrievalAugmented Generation) patterns
• Cognitive flows and AIdriven applications
• Ensure AI platform components are productionready scalable and governed.

Governance Security & Responsible AI

• Ensure platform designs comply with enterprise data governance security and privacy standards.
• Collaborate with governance teams on:
• Data cataloging and lineage
• Master Data Management (MDM)
• Metadata and data quality frameworks
• Embed Responsible AI compliance and ethical considerations into platform architecture.

Measurement & Outcomes

• Define and implement KPIs to measure:
• AI platform maturity and adoption
• Governance and security effectiveness
• Platform reliability performance and business value

Desired Experience

• Experience as a Platform Architect AI Platform Architect Solutions Architect or similar role.
• Proven experience designing and implementing enterprise AI platforms in cloud environments.
• Strong handson experience with Azure AWS and/or GCP.
• Handson experience implementing:
• Data Warehouse Data Lake and Lakehouse architectures
• Analytics and AI platform components
• Handson experience with:
• Generative AI Machine Learning and Deep Learning platforms
• LLMbased architectures and cognitive flows
• (Nice to have) Experience creating dashboards reports and KPIs using tools such as Power BI or Tableau.
• Proven experience working with Data Cataloging Data Lineage and Master Data Management initiatives.
• Experience collaborating in multidisciplinary teams including data engineers AI engineers data scientists governance teams and business stakeholders.
• Prior experience supporting US enterprise clients is highly desirable.

Required Skills & Qualifications

• Bachelors or masters degree in computer science Software Engineering Data Science Mathematics or a related field.
• Strong proficiency in:
• SQL and Python
• Data analysis and data profiling
• Platformlevel data modeling and storage strategies
• Data cloud solutions (Azure AWS GCP)
• Strong understanding of:
• AI & Data platform architecture patterns (Lakehouse Warehouse Data Mesh Data Factory Data Vault)
• Data management and data governance frameworks.
• Handson knowledge of:
• AI Ready data implementations at scale
• ETL ELT Near real time processing
• MDM Data Quality Data Lineage.
• LLMs and Generative AI
• RAG architecture
• Excellent written and verbal communication skills with the ability to communicate architectural decisions clearly to technical and nontechnical stakeholders.
• Strong awareness of compliance ethics and Responsible AI.
• A consulting mindset with the ability to adapt learn and apply new technologies quickly.

What Were Looking For

We are looking for passionate architects who are excited about building and evolving AI platforms at enterprise scale. You care deeply about platform quality governance and longterm sustainability and you enjoy working across teams to turn complex AI ambitions into reliable secure and scalable platforms.

If this resonates with you we strongly encourage you to apply.