Senior Manager, AI Infrastructure Architect

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $175k - $245k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Huron

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2002

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.

📋 Description

• 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 • Provide technical direction and mentorship to AI infrastructure engineers, including design and code review • Partner with security, governance, knowledge, and observability functions to implement controls, knowledge access, evaluation, and audit evidence through automation • Partner with the AI Capability Center to deliver infrastructure and platform foundations and targeted prototyping for go-to-market teams • Use AI tools 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

🎯 Requirements

• 8+ years of experience designing and building production cloud platforms, AI platforms, developer platforms, data platforms, or distributed systems • 4+ 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 • Experience with Amazon Bedrock or equivalent enterprise model access platforms preferred • Experience with MCP or comparable governed tool/service mediation patterns preferred • Experience with durable agentic AI orchestration platforms preferred • Experience with sandboxed execution, coding agents, secure agent runtimes, or developer workspaces preferred • Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines preferred • Experience with regulated or client-confidential workloads preferred • Experience mentoring engineers or leading small technical workstreams preferred • Ability to live in the United States and travel as needed

🏖️ Benefits

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