Senior AI Infrastructure Architect
$175,000–$245,000 year
On-siteChicago, Illinois, United States
Job Summary
Build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock, while designing infrastructure as code, deployment automation, and reusable platform components. Implement usage telemetry, token reporting, and cost-management data pipelines to support secure, reusable solutions across cloud infrastructure and agent execution. Deploy sandbox patterns for coding and tool-using agents, alongside governed tool/service mediation patterns using MCP or equivalent approaches. Establish logging, monitoring, alerting, and audit evidence capture for onboarded workloads, while creating onboarding templates and reference implementations for Client-facing AI Delivery, Enterprise IT, and internal operations teams. Use AI tools hands-on to accelerate infrastructure coding, automation, debugging, and runbook development. Help define runbooks, support models, and incident paths for operational handoffs.
Required Qualifications
- 6+ years of experience building and operating production cloud or platform infrastructure, including hands-on experience with AWS, infrastructure as code, automation, or production operations
- Strong infrastructure as code experience
- Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support
- Strong software engineering or scripting skills for automation and platform tooling
- Demonstrated ability to use AI tools as a practical system-building accelerator for infrastructure automation, code generation, debugging, testing, or documentation
- Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns
- Ability to work in ambiguous environments and convert platform requirements into working systems
- Flexible living locations across the US
- Ability to travel as needed
Desired Qualifications
- Experience with Amazon Bedrock or other managed AI/model platforms
- Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines
- Experience with Temporal or comparable workflow orchestration platforms for durable infrastructure automation, agent workflows, or operational processes
- Experience with containerized or sandboxed execution environments
- Experience with agent tools, MCP, model gateways, API gateways, or secure service broker patterns
- Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads
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