6 дней назад
Staff Enterprise AI Engineer (AI Automation)
181 374 - 215 015$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Enterprise AI Engineer (AI Automation): Building secure, production-grade AI systems, agents, and automated workflows for internal IT, Security, Finance, HR, Legal, and GTM operations with an accent on enterprise integrations, workflow orchestration, and measurable productivity gains. Focus on designing reusable agent capabilities, implementing security and compliance guardrails, and scaling AI platforms across the business.
Location: Remote role based in the United States; listed location is San Francisco, California
Salary: $181,374–$215,015.20 base salary per year
Company
develops industry-leading technology focused on improving business growth, retention, efficiency, and decision-making.
What you will do
- Design and implement enterprise AI systems using Workato, MCP frameworks, Microsoft 365 Copilot, and Claude.
- Build and orchestrate AI agents that automate workflows across IT, Security, Finance, HR, Legal, Technology, and go-to-market functions.
- Develop reusable patterns for agent orchestration, memory, context handling, and human-in-the-loop controls.
- Connect SaaS platforms, data systems, and internal services into integrated AI-powered workflows that reduce operational toil.
- Build scalable internal AI capabilities, including templates, SDKs, connectors, and playbooks.
- Partner with senior stakeholders and cross-functional teams to define high-value AI opportunities and operationalize solutions.
Requirements
- 7+ years of experience in enterprise engineering, automation, or IT systems.
- Hands-on experience building integrations and workflows with Workato or similar platforms.
- Experience with LLM-based systems, prompt design, agent orchestration, and tool usage.
- Strong understanding of SaaS ecosystems and API-driven architectures.
- Experience implementing security and compliance controls in cloud-native environments; AWS experience is preferred.
- Ability to work at both deep technical and strategic levels.
Nice to have
- Experience with MCP or similar model context and agent frameworks.
- Microsoft 365 Copilot extensibility and Graph API experience.
- Experience with Claude or other enterprise LLM platforms.
- Exposure to AI governance and responsible AI practices.
- Experience scaling internal platforms in a high-growth SaaS company.
Culture & Benefits
- Remote work with equipment and support for connecting with teams at home or in company offices.
- Health coverage, life and disability insurance, paid parental leave, paid time off, and paid holidays.
- Quarterly self-care days, wellness education sessions, and employee resource group events.
- Stock options and access to learning and development initiatives, including LinkedIn Learning.
- Full-time employment with a 401(k) employer matching program.
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