Principal AI Infrastructure Architect
$190,000–$265,000 year
On-siteChicago, Illinois, United States
Job Summary
Define and build approved patterns for Amazon Bedrock, model access, networking, identity, logging, data flow, and production deployment. Design core AI control-plane patterns for registration, policy enforcement, usage tracking, attribution, quotas, audit reporting, and exception handling. Build reusable infrastructure as code, deployment templates, automation, sandbox patterns, MCP or equivalent service mediation, and operational tooling. Lead implementation of usage telemetry, token reporting, user attribution, project attribution, and cost-management data pipelines. Partner with the AI Security, Governance, Knowledge, and Observability Engineer to implement controls, knowledge access, evaluation, and audit evidence through automation. Review and guide priority workload onboarding to ensure use cases follow approved architecture and operating patterns. Document reference architectures, implementation patterns, runbooks, and engineering standards.
Required Qualifications
- 10+ years of experience designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems
- 5+ years with AWS or equivalent cloud infrastructure
- Strong AWS architecture experience, including identity, networking, logging, observability, infrastructure as code, security boundaries, and production operations
- Strong hands-on engineering skills in at least one modern programming language and infrastructure automation framework
- Demonstrated ability to use AI tools as a practical system-building accelerator for platform engineering, automation, code generation, code review, testing, or documentation
- Experience with APIs, service integration, secure deployment patterns, event-driven systems, or platform automation
- Ability to design for security, auditability, cost visibility, operational reliability, and reuse
- Experience translating business, governance, and risk requirements into pragmatic engineering patterns
- Flexible living locations across the US
- Ability to travel as needed
Desired Qualifications
- Experience with Amazon Bedrock or equivalent enterprise model access platforms
- Experience with MCP or comparable governed tool/service mediation patterns
- Experience with Temporal or comparable workflow orchestration platforms for durable platform automation, agent workflows, or long-running AI operations
- Experience with sandboxed execution, coding agents, secure agent runtimes, or developer workspaces
- Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines
- Experience with regulated or client-confidential workloads
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.