Senior Enterprise Automation Engineer
Core
Design and build agentic AI systems to orchestrate multi-system automation, moving the organization from simple information retrieval to automated workflows across enterprise platforms.
Role type
Senior IC Enterprise AI Automation Engineer
Builds
Scalable agent workflows, autonomous agents, unified data layers, and reusable frameworks for a Citizen Developer ecosystem.
Domain
Enterprise AI, Automation, Integration Platforms, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, API development (REST, GraphQL, webhooks), Enterprise Integration Platforms (Workato, MuleSoft), LLM APIs (OpenAI, Anthropic, Gemini), Agentic architectures, RAG patterns, Prompt engineering, Distributed systems (AWS, GCP, Azure), Microservices, Event-driven architecture, CI/CD, Infrastructure as code, Data security and compliance (SOC 2, GDPR)
Preferred skills
Production deployment of agentic AI systems, iPaaS platforms, Google Workspace/Microsoft 365 automation, Model Context Protocol (MCP), AI governance frameworks, Infrastructure/energy/HPC background
Technologies
Workato ONE, Anthropic Claude, Gemini, Salesforce, Coupa, Slack, Google Workspace, AWS, GCP, Azure, MCP
Responsibilities
Design and implement agentic AI workflows using modular, API-first architecture; Build autonomous agents that orchestrate workflows across enterprise systems; Architect and integrate a unified data layer for AI agents; Develop integrations, APIs, and custom connectors for scalable AI orchestration; Implement MCP connectors and model-agnostic orchestration patterns; Design deployment pipelines and lifecycle management systems for AI agents; Embed security, data privacy, and compliance guardrails; Create reusable templates and tooling for a Citizen Developer Program; Mentor internal teams through code reviews and technical enablement; Evaluate emerging AI technologies and prototype next-generation capabilities.
Seniority
Senior, hands-on IC
