Senior AI Infrastructure Architect

Huron

Senior AI Infrastructure Architect building secure, governed AI platforms for Huron, a global consultancy. Automating cloud infrastructure, model access, telemetry, agent execution, and operational support.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $175,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production cloud infrastructure, with a strong focus on automation, infrastructure as code, and AI tool integration. Proficient in implementing logging, monitoring, and operational reporting to support governed AI applications.

Highest-signal resume keywords

AWS ExperienceInfrastructure As CodeAutomation SkillsAI Tool UtilizationCloud Networking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Cloud InfrastructureDeployment AutomationScripting SkillsUsage TelemetryToken ReportingModel AttributionCost Management Data PipelinesAPIsEvent-Driven SystemsContainerized Environments

Soft Skills

Problem-SolvingCollaborationAdaptability

Tools & Technologies

Amazon BedrockTemporalMCPModel GatewaysAPI Gateways

Industry Keywords

Governed AIOperational SupportRegulated WorkloadsClient-Confidential DataPHIPII

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Design, build, integrate, and operate production platform capabilities supporting governed AI use
Build and operate approved model-access patterns, including Amazon Bedrock where applicable
Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components
Implement usage telemetry, token reporting, model and user/project attribution, quotas, and cost-management data pipelines
Deploy and operate approved sandbox patterns for coding and tool-using agents
Build governed tool/service mediation patterns for AI applications and agents
Implement logging, monitoring, alerting, audit evidence capture, and operational reporting
Build onboarding templates and reference implementations for client-facing and internal teams
Use AI tools to accelerate infrastructure coding, automation, debugging, testing, documentation, and runbook development
Help define runbooks, support models, incident paths, and operational handoffs
Travel as needed

Requirements

What you’ll need

6+ years of experience building and operating production cloud or platform infrastructure
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
Ability to use AI tools for infrastructure automation, code generation, debugging, testing, or documentation
Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns
Ability to convert ambiguous platform requirements into working systems
Experience with Amazon Bedrock or other managed AI/model platforms preferred
Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines preferred
Experience with Temporal or comparable workflow orchestration platforms preferred
Experience with containerized or sandboxed execution environments preferred
Experience with agent tools, MCP, model gateways, API gateways, or secure service broker patterns preferred
Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads preferred
Flexible living locations across the US
Ability to travel as needed

Benefits

Comp & perks

Annual incentive compensation program
Medical, dental and vision coverage
Other wellness programs
401(k) plan with a generous employer match
Employee stock purchase plan
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 the lives of employees