Senior Manager, AI Infrastructure Architect

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

📋 Description

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

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

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

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

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

• Offer technical guidance and mentorship to AI infrastructure engineers, including design and code reviews.

• Collaborate with security, governance, knowledge, and observability functions to implement controls, knowledge access, evaluation, and audit evidence through automation.

• Work alongside the AI Capability Center to provide infrastructure and platform foundations and targeted prototyping for go-to-market teams.

• Utilize AI tools to expedite architecture design, infrastructure coding, code review, testing, documentation, troubleshooting, and operational enhancements.

• Review and direct priority workload onboarding to ensure that use cases adhere to approved architecture and operational patterns.

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

⛳️ Requirements

• Over 8 years of experience in designing and constructing production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems.

• At least 4 years of experience with AWS or an equivalent cloud infrastructure.

• Strong expertise in AWS architecture, including identity, networking, logging, observability, infrastructure as code, security boundaries, and production operations.

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

• Proven capability to employ AI tools 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 with considerations for security, auditability, cost visibility, operational reliability, and reuse.

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

• Familiarity with Amazon Bedrock or similar enterprise model access platforms is preferred.

• Experience with MCP or comparable governed tool/service mediation patterns is preferred.

• Background with durable agentic AI orchestration platforms is preferred.

• Experience with sandboxed execution, coding agents, secure agent runtimes, or developer workspaces is preferred.

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

• Experience with regulated or client-confidential workloads is preferred.

• Background in mentoring engineers or leading small technical workstreams is preferred.

• Must be able to reside in the United States and travel as required.

🏝️ Benefits

• Annual incentive compensation program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Wellness programs.

• Flexible living locations across the US.

• Travel as needed.