Senior AWS Platform Architect - AI & Automation (Remote)

Alchemy; United States; Remote; USD 96,000 - 103,000; Full time

Job summary

Alchemy seeks a Senior AWS Solution Architect to lead scalable, secure AWS platforms supporting enterprise operations, cloud modernization, and AI enablement. You will guide architecture roadmaps, drive automation, and mentor teams across Platform, Operations & AI domains.

The role emphasizes strong AWS experience, platform engineering, DevSecOps practices, and cost-performance optimization in a remote US setting.

Qualifications

• AWS Cloud foundations for AI/ML workloads – 1 year preferred.
• AWS Cloud: 5 years required.

Responsibilities

• Design scalable, secure, and resilient AWS cloud architectures.
• Define reusable cloud patterns, shared services, and reference architectures.
• Drive platform modernization, operational excellence, reliability, and automation.
• Build cloud foundations for AI/ML workloads, data pipelines, inference, and integrations.
• Establish security, access control, encryption, logging, and governance standards.
• Enable Infrastructure as Code, CI/CD, DevSecOps, and automated deployment guardrails.
• Lead architecture reviews and translate business/technical requirements into architecture roadmaps.
• Optimize AWS environments for cost, performance, scalability, and maintainability.
• Mentor engineers and architects on AWS architecture and platform engineering best practices.

Skills

AWS Solution Architecture

AWS Cloud Platform

Cloud Modernization

DevSecOps

Infrastructure as Code

Cloud Operations

AI/ML Cloud Enablement

Security Governance

Cost Optimization

Architecture Standards

Job description

Alchemy seeks a Senior AWS Solution Architect to lead scalable, secure AWS platforms supporting enterprise operations, cloud modernization, and AI enablement. You will guide architecture roadmaps, drive automation, and mentor teams across Platform, Operations & AI domains.

The role emphasizes strong AWS experience, platform engineering, DevSecOps practices, and cost-performance optimization in a remote US setting.