Senior Lead Systems Engineer, AI & Automation

Braze Braze · Enterprise · New York, NY · Information Technology

Senior Lead Systems Engineer focused on building enterprise technology through automation, software engineering, AI, and intelligent integrations. The role involves architecting scalable solutions, building integrations across various platforms, and shaping strategy around enterprise integrations, intelligent workflows, and agentic experiences. Key responsibilities include designing and building intelligent automation leveraging AI and agentic workflows, developing integrations across SaaS applications, evolving conversational IT and self-service experiences, and enabling AI platform capabilities by evaluating and implementing emerging AI technologies, LLMs, and agent frameworks.

What you'd actually do

  1. Design and build intelligent automation that streamlines business processes across enterprise platforms. Leverage AI, agentic workflows, and modern integration patterns to reduce manual effort, improve operational efficiency, and enhance employee productivity
  2. Design and develop scalable integrations across platforms including Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications. Build APIs, middleware, and event-driven workflows that create seamless employee experiences
  3. Help evolve how employees interact with IT by building conversational interfaces and self-service experiences that reduce reliance on traditional ticket-based workflows while improving service delivery and employee satisfaction
  4. Design scalable, resilient solutions that improve how enterprise platforms communicate and operate together. Evaluate architecture decisions with long-term maintainability, extensibility, and operational excellence in mind
  5. Evaluate, pilot, and implement emerging AI technologies, large language models, MCP integrations, and agent frameworks that enable intelligent automation across enterprise systems while establishing best practices for responsible adoption

Skills

Required

  • 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments
  • Strong software engineering background with experience building APIs, integrations, automation, or platform services
  • Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript
  • Experienced working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards
  • Familiar with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems
  • Skilled in designing scalable architectures that balance business requirements, security, and operational simplicity

What the JD emphasized

  • intelligent automation
  • agentic workflows
  • enterprise integrations
  • conversational IT
  • large language models
  • agent frameworks
  • AI

Other signals

  • AI
  • agentic workflows
  • intelligent integrations
  • conversational experiences
  • large language models
  • agent frameworks