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Salary: USD 145,000 - 170,000 / annual
Crusoe is a vertically integrated AI infrastructure company building energy-efficient solutions for AI compute. The company owns and operates the full stack from power generation to AI workloads, addressing the critical bottleneck of energy availability for AI systems.
In this Senior Enterprise Automation Engineer role, you will design and build agentic AI systems that transform Crusoe's enterprise operations from basic information retrieval to orchestrated, multi-system automation. You'll work at the intersection of AI, enterprise systems, and integration platforms, establishing the technical foundations for an AI-powered operating model.
Key responsibilities include:
- Designing and implementing agentic AI workflows using modular, API-first architecture across platforms like Workato ONE, Anthropic Claude, and Gemini
- Building autonomous agents that orchestrate workflows across enterprise systems (Salesforce, Coupa, Slack, Google Workspace)
- Architecting a unified data layer enabling AI agents to access and act on data across siloed systems
- Developing integrations, APIs, and custom connectors for scalable AI orchestration
- Implementing Model Context Protocol (MCP) connectors and model-agnostic orchestration patterns
- Designing deployment pipelines and lifecycle management systems for production AI agents
- Embedding security, data privacy, and compliance guardrails into all 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 agentic capabilities
This is a high-impact role where you'll help advance Crusoe's 2026 Enterprise AI Strategy and establish patterns that scale across the organization.
REQUIREMENTS:
- 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 (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, 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:
- Production deployment experience with agentic AI systems
- Familiarity with iPaaS platforms (Workato preferred)
- Google Workspace or Microsoft 365 automation experience
- Knowledge of Model Context Protocol (MCP) or similar interoperability standards
- AI governance framework implementation experience
- Background in infrastructure, energy, or high-performance computing
- Open-source AI contributions or technical thought leadership
