Principal AI Infrastructure Architect

Huron

Principal AI infrastructure architect building governed AWS and Bedrock platforms for Huron’s consulting clients. Designing automation, telemetry, security, and production operating patterns.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesLead💰 $190,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and building production cloud platforms, particularly with AWS, while leveraging AI tools for automation and infrastructure coding. Capable of defining and implementing robust AI reference architectures and operational patterns with a focus on security, auditability, and cost management.

Highest-signal resume keywords

AWS Architecture ExperienceInfrastructure As CodeAI Tools ProficiencyCloud Platform EngineeringService Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud PlatformsAI PlatformsDistributed SystemsModern Programming LanguageInfrastructure Automation FrameworkAPIsEvent-Driven SystemsSecure Deployment PatternsCost Management Data PipelinesUsage Telemetry

Tools & Technologies

Amazon BedrockMCPOperational ToolingAutomationLoggingObservability

Industry Keywords

Control-Plane BoundariesPolicy EnforcementUsage TrackingAttributionAudit ReportingException Handling

Tech Stack

Tools & technologies

AWSCloudDistributed Systems

About the role

Key responsibilities & impact

Serve as hands-on technical lead for AI reference architecture, workload patterns, control-plane boundaries, model access, agent execution, and integration decisions
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 AI Security, Governance, Knowledge, and Observability Engineering to implement controls, knowledge access, evaluation, and audit evidence through automation
Use AI tools hands-on to accelerate architecture design, infrastructure coding, code review, testing, documentation, troubleshooting, and operational improvement
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
Travel as needed

Requirements

What you’ll need

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 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
Ability to travel as needed

Benefits

Comp & perks

Annual incentive compensation program
Medical coverage
Dental coverage
Vision coverage
Wellness programs
401(k) plan with 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 major events in employees’ lives