Note: The job is a remote job and is open to candidates in USA. CoreView is the global leader in Microsoft 365 tenant resilience, serving over 23 million users worldwide. They are seeking an AI Operations Engineer to design, build, and maintain AI-powered agents and automated workflows that enhance internal operations across various business functions. This role focuses on translating operational challenges into effective AI solutions that streamline processes and improve efficiency.
Responsibilities
- Design, build, deploy, and iterate on internal AI agents using enterprise-grade no-code/low-code agentic workflow platforms
- Implement agents across multiple business functions, including but not limited to: Support, Finance & Accounting, Business Intelligence, HR, Marketing & Content, Product, and Sales & Revenue Operations
- Define agent behaviors, guardrails, escalation paths, and human-in-the-loop checkpoints
- Analyze internal data sources across departments, identify high-value data, and extract the insights each team needs to feed and optimize their agents
- Evaluate, select, and own the company's agentic workflow platform(s) building the foundation that enables other teams to create and manage their own agents over time
- Integrate agents with existing tools and systems (CRM, ticketing systems, ERP, data warehouses, communication platforms, etc.) via APIs, webhooks, and native connectors
- Manage prompt engineering, LLM selection, and model configuration for each agent use case
- Ensure data security, access control, and compliance across all automated workflows
- Create templates, playbooks, and documentation so domain experts in each department can propose, configure, or co-build agents relevant to their function
- Establish governance frameworks: monitoring, logging, quality assurance, and performance tracking for all deployed agents
- Train internal teams on how to interact with, supervise, and improve agents
- Stay current on the rapidly evolving AI/agent landscape: new models, frameworks, platforms, and best practices
- Proactively identify new automation opportunities across the organization
- Run experiments and proof-of-concepts to validate new agent use cases before scaling
Skills
- Proved experience in automation engineering, process automation, or a similar operational-technical role
- Hands-on experience with enterprise-grade no-code/low-code automation platforms
- Strong understanding of LLMs and prompt engineering: you know how to get consistent, reliable outputs from AI models in production contexts
- API integration skills: comfortable connecting disparate systems via REST APIs, webhooks, and middleware
- Process thinking ability to map a business process end-to-end, identify what can be automated, and design the right level of human oversight
- Solid communication skills: you'll work with every department; you need to translate technical capabilities into business language and vice versa
- Experience with additional enterprise automation platforms (Microsoft Power Automate, ServiceNow, or similar enterprise workflow tools)
- Experience with agent frameworks (Agno, LangChain, LangGraph, CrewAI) for more complex use cases that go beyond no-code capabilities
- Familiarity with the broader Microsoft ecosystem (Power Platform, Azure AI Services, Azure AI Foundry)
- Scripting/development skills in Python or TypeScript
- Experience with RAG (Retrieval-Augmented Generation) architectures and vector databases
Company Overview