AI Operations Engineer

About CoreView CoreView is the global leader in Microsoft 365 (M365) tenant resilience, serving over 23 million users worldwide. We empower the world’s leading organizations to master the complexity of Microsoft M365. Through robust security and precise governance, we help ensure that our client’s environments stay cyber-resilient and productive, no matter how complex they are. Our unified, cloud-native platform delivers powerful automation, rapid value, and end-to-end visibility across the entire M365 ecosystem. Backed by world-class support and a collaborative, innovative culture, CoreView is a place where your ideas matter, and your work truly impacts global enterprises. About CoreView CoreView is the #1 Microsoft 365 and Entra management platform for enterprise customers and service providers who are transforming the way they run their Microsoft 365 stack. CoreView delivers a unified approach to configuration management, delegated administration, and automated governance with capabilities far beyond native tools or point products. Trusted by organizations of all sizes, CoreView helps command operations, optimize tasks, refine governance strategies, and empower IT teams. CoreView is a proud Microsoft Gold Partner and is available on the Azure Marketplace, working exclusively with a global network of Microsoft resellers, solution integrators, and managed service providers. Job Summary We're looking for an AI Operations Engineer to design, build, and maintain AI-powered agents and automated workflows that streamline internal operations across the company from Support and Finance to HR, Sales Operations, and Product. This is not a traditional software engineering role. You'll work at the intersection of business processes and AI, translating operational bottlenecks into autonomous or semi-autonomous agents that handle transactional, repetitive, and data-intensive work. You'll be the person who makes AI work inside the company, not just as a concept, but as a daily operational tool. Job Responsibilities Agent Design & Development 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. Platform & Infrastructure 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. Enablement & Governance 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. Continuous Improvement 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. Job Requirements Must-Have 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. Nice-to-Have 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. Coreview Values Ownership Mindset : Take ownership. Drive outcomes. One Team : One team, one goal, embracing diversity - to achieve more together. Velocity: Decide fast. Deliver fast. Repeat. Continuous Improvement : Curiosity drives us. We challenge the status quo. Customer First: Listen deeply. Solve boldly. Resilience: Steady under pressure. CoreView is an organisation which values the strength that diversity brings to the workplace. As an employer, we seek to promote equal opportunity through affirmative action. All qualified applicants will therefore receive consideration for employment and will not be discriminated against based on gender/sex, race/ethnicity, disability, age or any other protected group status (such as protected veteran status) or characteristic that is protected by local legislation. Privacy Notice: By submitting your application, you acknowledge that CoreView will process your personal data for recruitment purposes in accordance with our