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Enterprise AI Engineer III (AI)
116 500 - 163 000$
Описание вакансии
Текст:
TL;DR
Enterprise AI Engineer III (AI): Designing and operating cloud infrastructure, enterprise AI platforms, and SaaS integrations with an accent on infrastructure automation, security, observability, and cost efficiency. Focus on building production-grade AI workflows, implementing governance and guardrails, resolving complex incidents, and enabling engineering teams through reusable architectures and standards.
Location: Austin, Texas, United States
Salary: $116,500–$163,000 total cash range, with potential pay up to $186,500 based on sustained performance.
Company
is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising technology.
What you will do
- Own service and integration architecture for enterprise AI platforms and systems, ensuring security, scalability, cost efficiency, and operability.
- Build reusable infrastructure-as-code modules, automation frameworks, policy-as-code controls, and self-service engineering patterns.
- Design integrations between internal platforms and enterprise SaaS systems with appropriate lifecycle, security, compliance, and data-flow controls.
- Define SLOs and implement observability through telemetry pipelines, synthetic tests, alerting, and actionable operational signals.
- Lead incident resolution, root-cause analysis, post-incident improvements, and operational workflow optimization.
- Document architecture decisions, forecast capacity and costs, and mentor junior and mid-level engineers.
Requirements
- 5+ years of experience in infrastructure, platform, or enterprise systems engineering, or 3+ years with a Master's degree.
- Bachelor's degree or equivalent practical experience in a relevant field.
- Design-level experience with public cloud infrastructure, including compute, networking, storage, and IAM, plus Terraform, Pulumi, or equivalent IaC tooling.
- Proficiency in Python, Go, or a similar programming language, with experience building automation and making cost-aware infrastructure recommendations.
- Experience designing SaaS or enterprise-system integrations, observability solutions, SLOs, security controls, and compliance practices.
- Working knowledge of LLMs, RAG, agentic systems, AI-assisted operations, enterprise AI copilots, knowledge assistants, governance, guardrails, and production monitoring.
Nice to have
- Experience with Glean, ServiceNow, Salesforce, or similar enterprise SaaS platforms.
- Experience creating engineering standards, templates, golden paths, or internal developer platforms.
- Mentorship experience, open-source infrastructure contributions, or familiarity with FinOps and workload-level cloud cost optimization.
Culture & Benefits
- Work on technology supporting millions of travelers and employees worldwide.
- 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 and employment environment.