Senior Cloud Architect: AI, Data & Infra Lead

robotsandpencils; United States; Remote; USD 73,000 - 101,000; Full time

Benefits offered by this job

Paid time off

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

Robots and Pencils in the United States seeks a Senior Cloud Architect to design and deliver complex cloud, data, and AI systems. You will blend hands-on engineering with architectural ownership, collaborating with cross‑functional delivery teams to create scalable, secure, maintainable solutions for enterprise workflows.

You will own components end to end, build cloud‑native services, apply infrastructure as code and CI/CD, and shape data pipelines and ML model serving.

Qualifications

• At least five years of professional software engineering experience.
• Designing and delivering cloud-based systems with AWS/Azure/Google Cloud.
• Experience with infrastructure as code, CI/CD, containers, or orchestration.
• Able to explain technical tradeoffs across application, data and AI/ML domains.
• Strong collaboration across engineering, data, AI, product and architecture.

Responsibilities

• Contribute to architecture across cloud, data, and AI/ML systems while owning meaningful components end to end.
• Build and integrate cloud-native services, including microservices, serverless apps, and container workloads.
• Implement infrastructure as code and CI/CD pipelines.
• Design or contribute to data pipelines, warehouses, and data models.
• Support ML systems through model serving, MLOps, and large-language-model integration.
• Establish monitoring, logging, observability, documentation, and design reviews.

Skills

Cloud architecture

CI/CD tooling

Infrastructure as Code

Containers / orchestration

Cross-functional collaboration

AI/ML awareness

Tools

Terraform

CloudFormation

GitHub Actions

Kubernetes

Docker

CloudWatch

Prometheus

Grafana

Job description

Robots and Pencils in the United States seeks a Senior Cloud Architect to design and deliver complex cloud, data, and AI systems. You will blend hands-on engineering with architectural ownership, collaborating with cross‑functional delivery teams to create scalable, secure, maintainable solutions for enterprise workflows.

You will own components end to end, build cloud‑native services, apply infrastructure as code and CI/CD, and shape data pipelines and ML model serving.