4 дня назад
Senior AI Infrastructure Architect
175 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Infrastructure Architect (AWS/AI): Designing, building, and operating secure production platform capabilities for governed AI usage with an accent on cloud infrastructure, model access, identity, observability, and automation. Focus on implementing model gateways, agent execution environments, usage and cost telemetry, governed service integrations, and reusable infrastructure components.
Location: Chicago, United States; flexible living locations across the US with travel as needed
Base salary: $175,000–$245,000 annually; total estimated compensation including annual incentive compensation: $201,000–$306,000
Company
is a global consultancy helping clients drive strategic growth, innovation, and operational, digital, and cultural transformation.
What you will do
- Design, build, integrate, and operate production platform capabilities for governed AI usage.
- Develop approved model-access patterns, including Amazon Bedrock where applicable.
- Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components.
- Implement telemetry and data pipelines for token usage, model reporting, attribution, quotas, and cost management.
- Deploy sandboxed coding and tool-using agent environments and governed service mediation patterns, including MCP or equivalent approaches.
- Implement logging, monitoring, alerting, audit evidence capture, onboarding templates, runbooks, and operational handoffs.
Requirements
- 6+ years of experience building and operating production cloud or platform infrastructure.
- Hands-on experience with AWS, infrastructure as code, automation, or production operations.
- 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.
- Experience using AI tools for infrastructure automation, code generation, debugging, testing, or documentation.
- Familiarity with APIs, event-driven systems, secure deployment patterns, and translating ambiguous platform requirements into working systems.
Nice to have
- Experience with Amazon Bedrock or other managed AI and model platforms.
- Experience with token and cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines.
- Experience with Temporal or comparable workflow orchestration platforms.
- Experience with containerized or sandboxed execution environments, agent tools, MCP, model gateways, API gateways, or secure service brokers.
- Experience supporting regulated, client-confidential, PHI, PII, or other sensitive workloads.
Culture & Benefits
- Work across client-facing AI delivery, enterprise IT, global products, analytics, consulting, engineering, and internal operations teams.
- Flexible living locations across the US.
- Travel as needed for the role.
- Eligibility for ’s annual incentive compensation program.
- Medical, dental, vision, and other wellness benefits.
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