AI Platform Architect: Scale, Security & Observability

Aalo Atomics; Austin (TX); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Health, Dental, Vision Insurance

Paid Time Off

Corporate Gym Membership

Job summary

Aalo Atomics in Austin, TX, is hiring an AI Platform Engineer to maintain and evolve the horizontal systems that make AI usable, secure, and scalable across the company.

You will be at the center of AI deployments, focusing on gateways, orchestration, observability, and platform architecture to enable safe, scalable AI solutions. This role collaborates with engineers across teams to harden and reuse platform capabilities.

Qualifications

• Design platform systems with clear APIs, data models, and integration patterns.
• Write clear, maintainable code with focus on reliability and security.
• Turn ambiguous platform needs into maintainable systems.
• Use AI coding agents or agentic workflows in daily engineering.
• Collaborate across engineering, security, and operations.
• Build reusable platform capabilities that scale across teams.

Responsibilities

• Maintain and evolve platform architecture and shared primitives for AI systems.
• Build gateways, orchestration layers, and integration frameworks.
• Implement CI/CD and infrastructure patterns for reliable AI services.
• Review, debug, and refine AI-generated code in shared systems.
• Develop observability, telemetry, and evaluation for AI solutions.
• Define access controls and auditability for internal AI systems.

Skills

Platform design

Reliability focus

Ambiguity handling

AI-native development

Team collaboration

Tools

API gateways

DevOps tooling

Job description

Aalo Atomics in Austin, TX, is hiring an AI Platform Engineer to maintain and evolve the horizontal systems that make AI usable, secure, and scalable across the company.

You will be at the center of AI deployments, focusing on gateways, orchestration, observability, and platform architecture to enable safe, scalable AI solutions. This role collaborates with engineers across teams to harden and reuse platform capabilities.