обновлено 7 дней назад
Senior Lead Systems Engineer, AI & Automation
116 000 - 182 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Systems Engineer, AI & Automation (Enterprise AI and integrations): Building scalable enterprise integrations, automation frameworks, conversational IT experiences, and AI-enabled workflows across SaaS platforms with an accent on APIs, event-driven architecture, and intelligent automation. Focus on designing resilient enterprise architectures, implementing LLM and agentic integrations, and reducing operational toil through reusable internal tooling.
Location: New York City, United States
Salary: $116,000–$182,000/year base compensation; expected OTE of $129,000–$202,000/year including bonus or commission.
Company
is a customer engagement platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.
What you will do
- Design and build intelligent automation, agentic workflows, and integrations across enterprise platforms.
- Develop APIs, middleware, webhooks, and event-driven workflows connecting Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications.
- 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 AI technologies, large language models, MCP integrations, and agent frameworks.
- Lead technical initiatives, contribute to 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, JavaScript, or similar programming languages.
- 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 across engineering, security, infrastructure, and business teams.
Nice to have
- Experience implementing 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.
- Experience building internal developer platforms or enterprise integration frameworks.
Culture & Benefits
- Hybrid ways of working and a curated in-office employee experience.
- Equity grants, retirement and employee stock purchase plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits, equal paid parental leave, and family services.
- Professional development, formal career pathing, learning platforms, and an annual learning stipend.
- Employee Resource Groups, volunteer opportunities, and donation matching.
Hiring process
- AI-assisted tools may be used to analyze application materials and support scheduling, interview recording, and note summarization.
- Recruiting teams remain responsible for hiring decisions and participate throughout the process.
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