Senior AI Infrastructure Architect

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

📋 Description

• Design, develop, integrate, and manage production platform capabilities that facilitate governed AI usage.

• Construct and maintain approved model-access patterns, utilizing Amazon Bedrock when applicable.

• Create infrastructure as code, automation for deployment, CI/CD templates, and reusable platform components.

• Implement usage telemetry, token reporting, model and user/project attribution, quotas, and pipelines for cost management data.

• Deploy and manage approved sandbox patterns for coding and tool-utilizing agents.

• Develop governed mediation patterns for tools/services used in AI applications and agents.

• Set up logging, monitoring, alerting, audit evidence collection, and operational reporting.

• Create onboarding templates and reference implementations for both client-facing and internal teams.

• Leverage AI tools to enhance infrastructure coding, automation, debugging, testing, documentation, and runbook creation.

• Assist in defining runbooks, support models, incident pathways, and operational transitions.

• Travel as necessary.

⛳️ Requirements

• Over 6 years of experience in building and operating production cloud or platform infrastructure.

• Practical experience with AWS, infrastructure as code, automation, or production operations.

• Strong background in infrastructure as code.

• Knowledge of cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support.

• Proficient software engineering or scripting skills for automation and platform tooling.

• Capability to utilize AI tools for infrastructure automation, code generation, debugging, testing, or documentation.

• Familiarity with APIs, event-driven systems, service integration, and secure deployment methodologies.

• Ability to translate vague platform requirements into functional systems.

• Experience with Amazon Bedrock or other managed AI/model platforms is preferred.

• Background in token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines is preferred.

• Experience with Temporal or similar workflow orchestration platforms is preferred.

• Knowledge of containerized or sandboxed execution environments is preferred.

• Familiarity with agent tools, MCP, model gateways, API gateways, or secure service broker patterns is preferred.

• Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads is preferred.

• Flexible living arrangements across the US.

• Willingness to travel as required.

🏝️ Benefits

• Annual incentive compensation program.

• Medical, dental, and vision coverage.

• Additional wellness programs.

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

• Employee stock purchase plan.

• Paid Time Off policy.

• Paid parental leave.

• Adoption assistance.

• Complimentary annual health screenings and coaching.

• Bank at work.

• On-site workshops.

• Ongoing programs that celebrate significant life events of employees.