AI Orchestration Engineer I - 1644

Location: Los Angeles, CA, San Francisco, CA, NYC, NY, or Tempe, AZ
Onsite/ Hybrid/ Remote: Hybrid (Once a week Onsite)
Duration: 9 months
Rate Range: Upto $50 - 65/hr on W2 (no benefits) depends on experience
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT

Must Have:

• SaaS workflow automation and orchestration experience
• REST API integration experience
• Python, JavaScript, or Node.js
• JSON and API payloads
• OAuth, API keys, and authentication methods
• Low-code, no-code, or programmatic automation platforms
• RPA or browser-based automation

Responsibilities:

• Design, build, test, and deploy enterprise workflow automations.
• Integrate collaboration, HR, finance, project management, and AI platforms using APIs.
• Replace manual and ticket-based processes with automated, event-driven workflows.
• Analyze business processes and identify automation opportunities.
• Develop API integrations and custom automation logic.
• Build browser-based automations when APIs are unavailable.
• Create and test workflow prototypes.
• Follow workflow governance, version control, testing, and release practices.
• Develop reusable automation templates and technical documentation.
• Work with security, IT, and architecture teams to meet enterprise standards.
• Support business users and promote responsible automation practices.

Qualifications:

• Experience building or supporting integrations across SaaS platforms.
• Working knowledge of REST APIs and common integration patterns.
• Experience translating business requirements into technical workflows.
• Experience managing multiple automation or integration tasks.
• Ability to work with technical teams and business stakeholders.
• Ability to work onsite at least three days per week.

Nice to Have:

• Automation governance and standards experience
• HR, finance, procurement, or collaboration system integrations
• AI-powered workflow integration experience
• Process improvement or operational transformation experience
• Internal technical documentation and training experience
• Enterprise low-code or no-code platform experience