Senior Enterprise Automation Engineer

Crusoe•Sunnyvale, CA

8d•$145,000 - $170,000

About The Position

Crusoe is seeking a Senior Enterprise AI Automation Engineer to help execute its 2026 Enterprise AI Strategy. The role designs and builds agentic AI systems that advance the organization from information retrieval to orchestrated, multi-system automation. It works across AI, enterprise systems, and integration platforms to create scalable agent workflows, support a citizen developer ecosystem, and establish technical foundations for an AI-powered operating model. The engineer will build agentic workflows using modular, API-first architectures; integrate enterprise systems and data; implement model-agnostic orchestration and MCP connectors; and establish production deployment and lifecycle management for AI agents. The role also embeds security, privacy, and compliance guardrails, develops reusable tooling for citizen developers, mentors internal teams, and evaluates emerging AI technologies. Compensation is listed as up to $145,000–$170,000 plus bonus, with Restricted Stock Units included in all offers. The final compensation depends on the applicant’s knowledge, education, abilities, internal equity, and market data.

Requirements

At least 5 years of software engineering experience, including at least 2 years in AI/ML or AI application development.
Strong proficiency in Python and API development, including REST, GraphQL, and webhooks.
Hands-on experience with enterprise integration platforms such as Workato, MuleSoft, or Zapier.
Experience working with LLM APIs such as OpenAI, Anthropic, or Google Gemini.
Deep understanding of agentic architectures, RAG patterns, and prompt engineering.
Experience designing scalable, distributed systems in cloud environments such as 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, including SOC 2 and GDPR.

Nice To Haves

Experience deploying agentic AI systems in production environments.
Familiarity with iPaaS platforms, with 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 environments.
Contributions to open-source AI projects or technical thought leadership.

Responsibilities

Design and implement agentic AI workflows using modular, API-first architectures across platforms such as Workato ONE, Anthropic Claude, and Gemini.
Build autonomous agents that orchestrate workflows across enterprise systems such as Salesforce, Coupa, Slack, and Google Workspace.
Architect and integrate a unified data layer that enables AI agents to access and act on data across siloed systems.
Develop integrations, APIs, and custom connectors for scalable AI orchestration across business platforms.
Implement MCP connectors and model-agnostic orchestration patterns.
Design deployment pipelines and lifecycle management systems for AI agents in production environments.
Embed security, data privacy, and compliance guardrails into AI implementations.
Create reusable templates, frameworks, and tooling for a Citizen Developer Program.
Mentor internal teams through code reviews, training, and technical enablement programs.
Evaluate emerging AI technologies and prototype capabilities to advance agentic maturity.