Senior Enterprise Automation Engineer
Crusoe · Sunnyvale, CA - US
About this role
## Senior Enterprise Automation Engineer ### About Crusoe Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack—from electrons to tokens—to power the world’s most ambitious AI workloads. ### About the Role We’re seeking a **Senior Enterprise AI Automation Engineer** to play a key role in executing Crusoe’s **2026 Enterprise AI Strategy**. In this role, you’ll design and build **agentic AI systems** that move the organization from simple information retrieval to **orchestrated, multi-system automation**. You’ll operate at the intersection of **AI, enterprise systems, and integration platforms**—building scalable agent workflows, enabling a **citizen developer ecosystem**, and establishing the technical foundations for an **AI-powered operating model**. ### What You’ll Be Working On - Designing and implementing **agentic AI workflows** using a modular, **API-first architecture** across platforms such as **Workato ONE**, **Anthropic Claude**, and **Gemini** - Building autonomous agents that orchestrate workflows across enterprise systems (e.g., **Salesforce, Coupa, Slack, Google Workspace**) - Architecting and integrating a unified **data layer** so AI agents can access and act on data across siloed systems - Developing **integrations, APIs, and custom connectors** to enable scalable AI orchestration across business platforms - Implementing **MCP (Model Context Protocol) connectors** and model-agnostic orchestration patterns - Designing **deployment pipelines** and **lifecycle management** systems for AI agents in production - Embedding **security, data privacy, and compliance guardrails** into all AI implementations - Creating reusable **templates, frameworks, and tooling** to support a **Citizen Developer Program** - Mentoring internal teams through **code reviews, training, and technical enablement** - Evaluating emerging AI technologies and prototyping next-generation capabilities to advance agentic maturity ### What You’ll Bring to the Team - **5+ years** of software engineering experience, including **2+ years** in AI/ML or AI application development - Strong proficiency in **Python** and **API development** (REST, GraphQL, webhooks) - Hands-on experience with enterprise integration platforms (e.g., **Workato, MuleSoft, Zapier**) - Experience working with **LLM APIs** (OpenAI, Anthropic, Google Gemini, or similar) - Deep understanding of **agentic architectures**, **RAG patterns**, and **prompt engineering** - Experience designing scalable, distributed systems in cloud environments (**AWS, GCP, or Azure**) - Strong knowledge of **microservices**, **event-driven architecture**, and integration design patterns - Experience with **CI/CD**, **infrastructure as code**, and **DevOps** practices - Understanding of data security, privacy, and compliance considerations (**SOC 2, GDPR**) ### Bonus Points - Experience deploying agentic AI systems in production environments - Familiarity with **iPaaS** platforms (Workato preferred) and enterprise automation ecosystems - Experience with **Google Workspace** or **Microsoft 365** automation and extensibility - Knowledge of **Model Context Protocol (MCP)** or similar interoperability standards - Experience implementing **AI governance frameworks** in enterprise settings - Background in infrastructure, energy, or high-performance computing env
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