Senior Cloud Architect: AI/ML & Data Platform Lead

Robots & Pencils; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Robots & Pencils, an applied AI engineering firm, seeks a senior architect to drive architectural design across cloud, data, and AI/ML systems. You will shape solutions using microservices, serverless, and containerized workloads in a cloud-first environment.

Collaborating with engineers, data, AI, and product teams, you will translate requirements into robust technical strategies, document decisions, and mentor junior engineers as scope grows.

Qualifications

• 5+ years of professional software engineering experience.
• Strong Python and at least one other language.
• Hands-on with cloud-native architectures and data pipelines.
• Experience with IaC and CI/CD pipelines.

Responsibilities

• Contribute to architectural design across cloud, data, and AI/ML systems.
• Build and integrate cloud-native solutions including microservices, serverless, and containerized workloads.
• Implement infrastructure as code and CI/CD pipelines, and design data architectures.
• Collaborate with engineers, data, AI, and product teams to translate requirements into sound technical solutions.
• Communicate technical tradeoffs and design decisions clearly across functions.
• Maintain architecture documentation and participate in design reviews.
• Take ownership of system components end-to-end with growing scope of architectural responsibility.
• Contribute to architectural standards and best practices that lift quality.
• Begin mentoring junior engineers, sharing knowledge and supporting their growth.

Skills

Software engineering

Python

Cloud platforms

Microservices

Serverless

Containerization

Event-driven systems

MLOps

Tools

Terraform

Kubernetes

Docker

GitHub Actions

Job description

Robots & Pencils, an applied AI engineering firm, seeks a senior architect to drive architectural design across cloud, data, and AI/ML systems. You will shape solutions using microservices, serverless, and containerized workloads in a cloud-first environment.

Collaborating with engineers, data, AI, and product teams, you will translate requirements into robust technical strategies, document decisions, and mentor junior engineers as scope grows.