Senior AI Infrastructure Engineer

Huron

. Build, integrate, and operate production platform capabilities supporting governed AI use .

Posted 10/23/2026full-timeRemote • United StatesSenior💰 $120,000 - $165,000 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, deployment, and AI integration. Proficient in implementing monitoring, logging, and operational reporting to support governed AI applications.

Highest-signal resume keywords

AWSInfrastructure As CodeDeployment AutomationAI Tools For AutomationCloud Networking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Cloud InfrastructureSoftware EngineeringScripting SkillsToken TelemetryUsage AttributionCost Management Data PipelinesAPIsEvent-Driven SystemsOperational SupportDebugging

Soft Skills

Ability To Work Through Ambiguity

Tools & Technologies

Amazon BedrockCI/CD TemplatesLoggingMonitoringOperational ReportingMCPModel GatewaysAPI Gateways

Industry Keywords

Governed AIClient-Confidential WorkloadsPHIPIISensitive Workloads

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

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 usage reporting, user and project attribution, quotas, and cost-management data pipelines
Deploy and operate sandbox patterns for coding agents and tool-using agents
Build governed tool/service mediation patterns for AI applications and agents, including MCP or equivalent approaches
Implement logging, monitoring, alerting, audit evidence capture, and operational reporting
Build onboarding templates and reusable reference implementations for internal and client-facing teams
Partner with the AI Capability Center under the Chief AI Officer on infrastructure and platform components
Use AI tools to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development
Define and maintain runbooks, support models, incident paths, and operational handoffs

Requirements

What you’ll need

3+ years of experience building and operating production cloud or platform infrastructure
Hands-on experience with AWS, infrastructure as code, automation, or production operations
Solid infrastructure as code experience
Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support
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 work through ambiguity with guidance from senior engineers and architects and deliver working systems
Preferred: 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 durable agentic AI 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
Ability to travel as needed

Benefits

Comp & perks

Annual incentive compensation program
Medical coverage
Dental coverage
Vision coverage
Wellness programs
Flexible living locations across the US
Travel as needed