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1 день назад

Senior Lead Systems Engineer, AI & Automation

104 000 - 164 000$
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
France/UK/Singapore +9 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Lead Systems Engineer, AI & Automation (Enterprise Integrations): Designing and building scalable enterprise integrations, intelligent automation, and conversational self-service experiences across SaaS platforms with an accent on APIs, AI agents, and resilient architecture. Focus on implementing LLM and MCP integrations, developing event-driven workflows, and shaping enterprise platform strategy and operational governance.

Location: Austin, United States

Salary: $104,000–$164,000 per year, with expected OTE of $115,000–$182,000 per year.

Company

hirify.global provides a customer engagement platform that helps brands deliver personalized, cross-channel customer experiences using data, automation, and AI.

What you will do

  • Design and build intelligent automation, agentic workflows, and integrations across enterprise SaaS platforms.
  • Develop APIs, middleware, webhooks, and event-driven workflows connecting Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and related systems.
  • Build conversational IT and self-service experiences that reduce reliance on ticket-based workflows.
  • Architect scalable, resilient, extensible enterprise platform solutions with strong operational reliability.
  • Evaluate and implement emerging AI technologies, LLMs, MCP integrations, and agent frameworks.
  • Lead technical initiatives, contribute to enterprise platform strategy, document architecture, and mentor engineers.

Requirements

  • 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments.
  • Strong software engineering experience building APIs, integrations, automation, or platform services.
  • Proficiency in Python, Go, TypeScript, or JavaScript.
  • Experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
  • Experience with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, or Google Workspace.
  • Ability to design scalable architectures and collaborate with engineering, security, infrastructure, and business teams.

Nice to have

  • Experience with AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms.
  • Experience with Terraform, infrastructure as code, cloud automation, event-driven architectures, message queues, or serverless technologies.
  • Familiarity with AWS, GCP, or Azure and experience building internal developer platforms or enterprise integration frameworks.

Culture & Benefits

  • Collaborative, transparent culture focused on autonomy, accountability, continuous learning, and work-life harmony.
  • Equity grants, retirement and employee stock purchase plans, and flexible paid time off.
  • Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits, varying by location.
  • Career pathing, learning platforms, and an annual learning stipend.
  • Curated in-office experiences, employee resource groups, community volunteering, and donation matching.

Hiring process

  • AI-assisted tools may analyze application materials and support scheduling, interview recording, and interview-note summaries.
  • Recruiting teams remain involved in hiring decisions; candidates may request information, opt out, or request manual review depending on location.

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