Principal AI Infrastructure Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as a hands-on technical lead for AI reference architecture, workload patterns, control-plane boundaries, model access, agent execution, and integration decisions.

• Establish and develop approved patterns for Amazon Bedrock, model access, networking, identity, logging, data flow, and production deployment.

• Create essential AI control-plane patterns for registration, policy enforcement, usage tracking, attribution, quotas, audit reporting, and exception handling.

• Develop reusable infrastructure as code, deployment templates, automation, sandbox patterns, MCP or equivalent service mediation, and operational tooling.

• Oversee the implementation of usage telemetry, token reporting, user attribution, project attribution, and cost-management data pipelines.

• Collaborate with AI Security, Governance, Knowledge, and Observability Engineering to enforce controls, facilitate knowledge access, evaluation, and audit evidence through automation.

• Utilize AI tools directly to enhance architecture design, infrastructure coding, code review, testing, documentation, troubleshooting, and operational enhancement.

• Evaluate and guide priority workload onboarding to ensure that use cases align with approved architecture and operating patterns.

• Document reference architectures, implementation patterns, runbooks, and engineering standards.

• Travel as required.

⛳️ Requirements

• Over 10 years of experience in designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems.

• More than 5 years of experience with AWS or equivalent cloud infrastructure.

• Extensive AWS architecture knowledge, including identity, networking, logging, observability, infrastructure as code, security boundaries, and production operations.

• Strong hands-on engineering capabilities in at least one modern programming language and infrastructure automation framework.

• Proven experience using AI tools for platform engineering, automation, code generation, code review, testing, or documentation.

• Familiarity with APIs, service integration, secure deployment patterns, event-driven systems, or platform automation.

• Ability to design with a focus on security, auditability, cost visibility, operational reliability, and reuse.

• Experience in translating business, governance, and risk requirements into practical engineering patterns.

• Willingness to travel as necessary.

🏝️ Benefits

• Annual incentive compensation program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Wellness programs.

• 401(k) plan with a generous employer match.

• Employee stock purchase plan.

• Generous Paid Time Off policy.

• Paid parental leave.

• Adoption assistance.

• Free annual health screenings and coaching.

• Bank at work.

• On-site workshops.

• Ongoing programs recognizing significant life events of employees.