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4 дня назад

Enterprise AI Engineer II

87 000 - 121 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Enterprise AI Engineer II (Cloud Infrastructure and AI): Designing and operating cloud infrastructure, enterprise AI systems, and SaaS integrations with an accent on infrastructure as code, observability, security, and operational automation. Focus on architecting production AI workflows with LLMs, RAG, agentic systems, governance controls, and measurable reliability and cost improvements.

Location: Austin, Texas, United States

Salary: $87,000–$121,500 per year, with potential pay up to $139,000 based on sustained performance.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.

What you will do

  • Design and own service, integration, and cloud architectures for enterprise AI platforms and systems.
  • Build reusable infrastructure-as-code modules, automation frameworks, and policy-as-code controls.
  • Design secure, compliant, and scalable integrations with enterprise SaaS platforms.
  • Define SLOs and implement observability through telemetry pipelines, synthetic tests, and alerting.
  • Lead incident resolution, root-cause analysis, post-incident improvements, and operational flow optimization.
  • Document architecture decisions, technical designs, runbooks, and self-service patterns while forecasting capacity and cloud costs.

Requirements

  • 3+ years of experience in infrastructure, platform, or enterprise systems engineering, or 1+ years with a Master's degree.
  • Bachelor's degree or equivalent practical experience in a relevant field.
  • Design-level experience with AWS, Azure, or GCP, including compute, networking, storage, IAM, and infrastructure-as-code using Terraform, Pulumi, or equivalent.
  • Proficiency in Python, Go, or a similar programming language, with experience building automation and making cost-aware recommendations.
  • Experience with SaaS or enterprise integration architecture, security controls, compliance, SLOs, observability, and operational improvements.
  • Working knowledge of LLMs, RAG, agentic systems, AI-assisted operations, production guardrails, governance, monitoring, and enterprise AI copilot or knowledge-assistant platforms.

Nice to have

  • Experience with Glean, ServiceNow, Salesforce, or similar enterprise SaaS platforms.
  • Experience creating platform engineering standards, templates, golden paths, or internal developer platforms.
  • Open-source infrastructure tooling contributions or experience embedding AI and automation into operational workflows.
  • Familiarity with FinOps, unit economics, cost attribution, and workload-level cloud cost optimization.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement.
  • Travel discounts and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support.

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