Overview
AI Cloud Solution Architect (Hybrid opportunity) — Hyatt. Hyatt seeks an experienced Cloud Solution Architect to join the Data Platform Architecture team. You will work with data science, data product managers, and data engineering to meet data and data product requirements of Hyatt initiatives. This is a ground-floor, highly visible role focused on data and AI / ML platforms.
Responsibilities
- Define scalable, secure, and compliant AI architectures, including AI and data ingestion layers, feature stores, model training clusters, and inference services.
- Prototype and demo end-to-end Generative AI and agent-based solutions (LLM-driven chatbots, RAG pipelines, autonomous AI agents) using UI tools for interactive dashboards and demonstrations.
- Design and implement ML / AI MLOps pipelines for data, training, validation, deployment, monitoring, and retraining (using GitHub / GitLab Actions, Jenkins, AWS CodePipeline, etc.).
- Develop and integrate intelligent agent architectures using orchestration platforms for multi-agent workflows.
- Deploy and manage infrastructure via IaC (Terraform, CloudFormation) and container orchestration (Kubernetes, Docker, AWS services).
- Build scalable data pipelines (Kafka, Spark, Pub / Sub) and feature stores to support real-time and batch AI workloads.
- Configure security, monitoring, and governance (IAM roles / policies, security groups, Cloud Logging, DataDog) and implement compliance guardrails.
- Establish AI model governance, explainability, and bias-monitoring frameworks; define and implement continuous evaluation pipelines to track model performance and auto retraining triggers.
- Produce architecture blueprints, runbooks, and best-practice guides to upskill teams and shape the product roadmap.
Qualifications
Experience Required :
6+ years in application / platform engineering or analytics; MVPs in AI / ML projects.4+ years architecting and managing AWS / GCP cloud environments.Generative AI and agent experience is required.Proven ability to drive AI / ML and Gen-AI initiatives end-to-end in ambiguous, fast-paced settings.Technical Expertise :
Generative AI & Agents : deep understanding of LLMs, embeddings, vector stores, fine-tuning, and multi-agent orchestration.MLOps : training pipelines, model registries, A / B testing, canary deployments, monitoring.Data Platforms : Kafka, Spark, feature stores, data lakes.Datastores & Warehousing : experience with Snowflake, Redshift, SQL, NoSQL, Redis.Cloud Infrastructure : IAM, VPC, security groups, governance; IaC (Terraform, CloudFormation); CI / CD.Containers & Orchestration : Docker, Kubernetes, AWS Fargate.Scripting & Automation : Python, JavaScript / TypeScript, PowerShell, Bash.UI Frameworks : Streamlit or similar for interactive prototypes and dashboards.Experience with AWS services (S3, EC2, RDS, Lambda, Kinesis, EMR, Step Functions, VPC, IAM, Security Groups) and data warehousing (Snowflake, Redshift).DB technologies and programming / scripting knowledge (SQL, Python, PostgreSQL, AWS Aurora / RDS, MongoDB, Redis).DevOps practices, CI / CD tools, pipelines, and automation scripting.Education & Skills :
BA / BS in Computer Science, Computer Engineering, or related field; advanced degrees a plus.Strategic thinker with strong analytical, troubleshooting, and communication skills.Ability to work in an ambiguous, fast-changing environment; collaborative and proactive in driving change.Additional Details
The position is full-time and based in a hybrid model as part of Hyatt’s Data Platform Architecture team.We welcome you to apply even if you do not meet every listed qualification; relevant experience and potential are considered.We value partnerships with recruitment partners; agencies should contact Hyatt first before submitting candidates.We’re proud to have earned recognition for our people-focused culture and benefits, including a Fortune listing for Best Companies to Work For. Hyatt offers comprehensive corporate benefits and opportunities for growth.
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