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As a Cloud Solution Architect for AI Platforms, you will play a critical role in enabling Hyatt to leverage AI/ML technologies effectively by designing and implementing robust, scalable, and secure cloud-based solutions.
This role requires a deep understanding of both cloud and AI/ML technologies.
As a valued member of the Data Platform Architecture team, you will collaborate with various stakeholders to deliver innovative and efficient AI solutions.
Responsibilities Architecture & Design: Define scalable, secure, and compliant AI architectures, including AI and data ingestion layers, feature stores, model training clusters, and inference services.
Rapid Prototyping & Demos: Build end-to-end Generative AI and agent-based solutions (LLM-driven chatbots, RAG pipelines, autonomous AI agents) leveraging Streamlit or other UI products for interactive dashboards and demos to showcase value.
MLOps Pipeline Development:



Design and implement CI/CD pipelines for data, training, validation, deployment, monitoring, and retraining of ML models (using Git Hub/Gitlab Actions, Jenkins, AWS Code Pipeline, etc.).
Agent Frameworks: Develop and integrate intelligent agent architectures leveraging orchestration platforms (e.g., Lang Chain, Dialog Flow, Tools, MCP's) for multi-agent workflows.
Cloud Engineering: Deploy and manage infrastructure using Ia C (Terraform, Cloud Formation) and container orchestration (Kubernetes, Docker, AWS Services).
Data Engineering: Build scalable data pipelines (Kafka, Spark, Pub/Sub) and feature stores to support real-time and batch AI workloads.
Security, Monitoring & Governance: Configure IAM roles/policies, security groups, and set up monitoring/alerting (Cloud Logging and Data Dog) and compliance guardrails.
Governance & Best Practices: Establish AI model governance, explainability, and bias-monitoring fra

📌 Ai Cloud Solution Architect (Tijuana)
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