Covetrus is a global animal-health technology and services leader dedicated to empowering veterinary practice partners. They are seeking a Senior IT AI Automation Engineer to design, build, and operationalize intelligent automation and AI-powered capabilities across their IT ecosystem, improving service delivery and employee experience.
Responsibilities:
- Design, implement, and maintain RAG (Retrieval-Augmented Generation) pipelines using enterprise data sources such as documentation, knowledge bases, tickets, and logs
- Build and orchestrate agentic AI workflows for IT operations use cases, including:
- Automated incident triage and response
- Root cause analysis assistance
- Guided remediation and runbook execution
- Integrate LLMs (OpenAI, Anthropic, Microsoft) into secure, production-grade automation solutions using industry-standard frameworks
- Develop internal tools and services that augment IT teams, not replace them—focusing on reliability, observability, and trust
- Automate employee onboarding and offboarding workflows across identity, access, collaboration, and endpoint systems
- Create self-service capabilities that allow employees to request access, resolve common issues, and obtain answers without opening tickets
- Improve IT service delivery speed, consistency, and quality through intelligent automation and event-driven design
- Build and maintain automation using Python, REST APIs, and cloud-native services
- Design solutions using Microsoft Power Automate and related Power Platform components where appropriate
- Integrate with enterprise systems such as:
- Identity and Access Management platforms
- ITSM tools
- Cloud infrastructure (AWS and Azure)
- SaaS enterprise applications
- Ensure solutions are secure, scalable, observable, and maintainable
- Mentor system administrators and engineers in AI-assisted operations, automation design, and best practices
- Establish standards for:
- AI Ops
- Security and data protection
- Responsible AI usage
- Operational resilience
- Partner with IT leadership to identify high-value automation opportunities and prioritize initiatives that deliver measurable outcomes
Requirements:
- 8+ years of experience in IT infrastructure, operations, or engineering roles
- 3+ years of hands-on experience with AI/ML platforms, intelligent automation, RPA, or advanced workflow automation
- Strong proficiency in Python for automation and service development
- Experience building and consuming RESTful APIs
- Hands-on experience with Microsoft Power Automate (and related Power Platform components)
- Experience working in cloud environments (AWS and/or Azure)
- Practical experience integrating and operating LLMs (OpenAI, Anthropic, Microsoft) in enterprise scenarios
- Familiarity with modern LLM frameworks and orchestration patterns
- Strong systems thinking with the ability to connect business outcomes to technical solutions
- Excellent communication skills—able to explain complex AI and automation concepts to both technical and non-technical audiences
- A builder's mindset with a focus on reliability, security, and operational excellence
- Comfortable operating in an evolving environment where standards and patterns are actively being defined
- Experience designing agent-based architectures for operational automation
- Hands-on experience with knowledge retrieval systems, vector databases, or enterprise search
- Background in ITSM automation, incident management, or SRE-adjacent practices
- Experience improving employee experience (EX) through IT self-service platforms
- Familiarity with governance, risk, and compliance considerations for enterprise AI
- Prior experience mentoring teams through technical transformation initiatives