Senior Enterprise Automation Engineer

The role

You will design and build agentic AI systems to move the organization toward orchestrated, multi-system automation. You will work at the intersection of AI, enterprise systems, and integration platforms to build scalable agent workflows.

What you will do

• Designing and implementing agentic AI workflows using a modular, API-first architecture.
• Building autonomous agents that orchestrate workflows across enterprise systems.
• Architecting and integrating a unified data layer for AI agents.
• Developing integrations, APIs, and custom connectors.
• Implementing MCP connectors and model-agnostic orchestration patterns.
• Designing deployment pipelines and lifecycle management systems for AI agents.
• Embedding security, data privacy, and compliance guardrails into AI implementations.
• Creating reusable templates, frameworks, and tooling for a Citizen Developer Program.
• Mentoring internal teams through code reviews, training, and technical enablement.
• Evaluating emerging AI technologies and prototyping next-generation capabilities.

Required qualifications

• 5+ years of software engineering experience
• 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)

Nice to have

• 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 environments
• Contributions to open-source AI projects or technical thought leadership

Benefits

• Competitive compensation and equity packages
• Restricted Stock Units
• Paid time off, paid holidays & leave of absence programs
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development & tuition reimbursement
• Mental health & wellness support
• Commuter benefits (parking & transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They use an energy-first approach to solve the demand for AI compute.