Senior IT AI Automation Engineer
Listed on 2026-05-31
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
About Covetrus
Covetrus is a global animal‑health technology and services leader dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We bring together products, services, and technology into a single platform that connects customers to the solutions and insights they need.
Role SummaryWe are seeking a Senior IT AI / Automation Engineer to design, build and ope rationalise intelligent automation and AI‑powered capabilities across Covetrus’ IT ecosystem. The role extends beyond scripting, providing modern AI patterns for identity, infrastructure, service management, onboarding, incident response, and more. It includes mentoring engineers and system administrators to deliver durable AI and automation capabilities throughout the organization.
AI & Intelligent Automation Engineering- Design, implement and maintain Retrieval‑Augmented Generation (RAG) pipelines using enterprise data sources such as documentation, knowledge bases, tickets and logs.
- Build and orchestrate agentic AI workflows for IT operations including automated incident triage and response, root‑cause analysis assistance and guided remediation/runbook execution.
- Integrate large language models (OpenAI, Anthropic, Microsoft) into secure, production‑grade automation solutions using industry‑standard frameworks.
- Develop internal tools and services that augment IT teams, focusing on reliability, observability and trust.
- Automate employee onboarding and off‑boarding 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) and 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, and operational resilience.
- Partner with IT leadership to identify high‑value automation opportunities and prioritise initiatives that deliver measurable outcomes.
- 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.
- Prio…
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