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 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
Responsibilities
Design and implement agentic AI workflows using a 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 into AI implementations
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
Volunteer time off
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Full Job Description
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 will 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 that enables AI agents to access and act on data across siloed systems
Developing integrations, APIs, and custom connectors that 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 environments
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 programs
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 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
Volunteer time off
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Compensation Range
Compensation will be paid in the range of up to $145,000-$170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
