Location: Buenos Aires (Hybrid)
Clients: US‑based 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 enterprise‑scale 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 north‑star 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 current‑state AI platform architectures across enterprise domains.
Define north‑star, 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 single‑cloud and multi‑cloud 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, near‑real‑time, and real‑time 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
LLM‑based systems, including RAG (Retrieval‑Augmented Generation) patterns
Cognitive flows and AI‑driven applications
Ensure AI platform components are production‑ready, 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 hands‑on experience with Azure, AWS, and/or GCP.
Hands‑on experience implementing:
Data Warehouse, Data Lake, and Lakehouse architectures
Analytics and AI platform components
Hands‑on experience with:
Generative AI, Machine Learning, and Deep Learning platforms
LLM‑based 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 multi‑disciplinary 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
Bachelor’s or master’s degree in computer science, Software Engineering, Data Science, Mathematics, or a related field.
Strong proficiency in:
SQL and Python
Data analysis and data profiling
Platform‑level 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.
Hands‑on 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 non‑technical stakeholders.
Strong awareness of compliance, ethics, and Responsible AI.
A consulting mindset with the ability to adapt, learn, and apply new technologies quickly.
What We’re 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 long‑term 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.
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