AI Cloud Solution Architect

1 day ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Hyatt

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 GitHub / Gitlab Actions, Jenkins, AWS CodePipeline, etc.).
• Agent Frameworks : Develop and integrate intelligent agent architectures leveraging orchestration platforms (e.g., LangChain, DialogFlow, Tools, MCP's) for multi-agent workflows.
• Cloud Engineering : Deploy and manage infrastructure using IaC (Terraform, CloudFormation) 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 DataDog) and compliance guardrails.
• Governance & Best Practices : Establish AI model governance, explainability, and bias-monitoring frameworks.
• Model Governance & Evaluation : Define and implement continuous evaluation pipelines to track model performance (accuracy, precision, recall), detect data / model drift, and automate retraining triggers to maintain reliability and compliance.
• Knowledge Sharing : Produce architecture blueprints, runbooks, and best-practice guides to upskill teams and shape the product roadmap.

Must-Have Skills & Qualifications

6–8 years of solution architecture experience

Proven track record in AI / ML project delivery (including MVPs)

Experience working in ambiguous, fast-paced environments

4+ years architecting and managing AWS / GCP environments

Deep understanding of AWS services : S3, EC2, Lambda, RDS, IAM, Kinesis, etc.

Infrastructure as Code : Terraform , CloudFormation

Strong grasp of networking, policy management , and cloud security

Strong understanding of MLOps pipelines and CI / CD

Experience with agent orchestration frameworks (e.g., LangChain, DialogFlow)

Familiarity with model governance , drift detection, and retraining triggers

Experience building on Snowflake (data warehouse + pipelines)

Knowledge of Kafka , Spark , feature stores

Compensation package

Seniority level

Employment type

Job function

Industries

Referrals increase your chances of interviewing at Hyatt by 2x

Sign in to set job alerts for “Cloud Architect” roles.

#J-18808-Ljbffr