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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Engineer, IT Operations - **Company:** 6 Sense Insights, Inc. - **Location:** New York, United States - **Experience:** Expert - **Salary:** $127,460.0 - $186,942.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Business Systems, Software as a Service, Cloud Computing, Data as a Services, Information Leak Prevention, Software Engineering, Systems Integration, Enterprise Software Applications, Office365, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier, AI Platforms, Information Technology, Integration Frameworks, Virtual Agents - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/22b8c0b5-3141-4360-a576-3cf6b3384c1c ## About the Role * 5+ years of experience in enterprise engineering, software engineering, automation, or IT systems. * Hands-on experience building integrations and workflows using Workato, Tines, or similar platforms. * Experience working with LLM-based applications, prompt engineering, AI assistants, or agent frameworks. * Strong understanding of APIs, integrations, and SaaS ecosystems. * Experience implementing security and compliance controls within cloud-based environments. * Strong problem-solving skills and ability to independently deliver technical solutions. Preferred Qualifications * Experience with MCP or similar agent and context management frameworks. * Experience extending Microsoft 365 Copilot and leveraging Microsoft Graph APIs. * Experience with Claude or other enterprise AI platforms. * Familiarity with AI governance and responsible AI principles. * Experience supporting internal platforms or business systems within a SaaS company. Core Competencies * AI and automation mindset. * Strong software and systems engineering fundamentals. * Security-conscious development practices. * Cross-functional collaboration and communication. * Ability to simplify business processes through technology. * Bias for execution and continuous improvement. Success Metrics * Deployment of production-ready AI solutions that improve business operations. * Reduction in manual effort and operational overhead. * Increased productivity through automation and AI adoption. * Reliability, security, and compliance of deployed solutions. * Successful delivery of AI initiatives within scope and timeline. ## Description We're looking for a Senior Enterprise AI Engineer to help scale internal operations through AI-driven systems, workflow automation, and intelligent agents. This role will build and deploy secure, production-ready AI solutions that improve employee productivity, automate business processes, and enhance decision-making across the organization. Success in this role is measured by delivering impactful AI-powered solutions that solve real business problems while maintaining security, reliability, and compliance., 1. AI Systems and Agent Development * Design, build, and deploy enterprise AI solutions using Workato, MCP frameworks, Microsoft 365 Copilot, Claude, and related technologies. * Develop AI agents and assistants that automate workflows across IT, Security, Finance, HR, Legal, and GTM functions. * Contribute to reusable patterns for agent orchestration, prompt design, context management, and human review workflows. 2. Enterprise Automation and Integration * Build and maintain end-to-end automated workflows using Workato and related integration platforms. * Integrate SaaS applications, internal systems, and data services into AI-powered business workflows. * Identify opportunities to reduce manual effort through automation and process optimization. 3. AI Governance, Security, and Risk * Implement security, privacy, and compliance requirements within AI solutions. * Follow established governance frameworks and best practices for responsible AI. * Apply controls that protect against data leakage, prompt injection, and unauthorized access. * Partner with Security and IT teams to ensure AI systems operate safely and compliantly. 4. Platform Enablement and Scale * Develop reusable AI components, templates, and integrations that accelerate adoption across teams. * Document best practices and implementation patterns. * Support internal teams in deploying and expanding AI-enabled workflows. 5. Productivity and Employee Experience * Leverage Microsoft 365 Copilot, Claude, and related tools to improve employee productivity. * Identify and implement high-value AI use cases across business functions. * Measure and optimize the effectiveness of deployed AI solutions. 6. Cross-Functional Collaboration * Partner with business stakeholders to understand operational challenges and define solutions. * Translate requirements into scalable technical implementations. * Collaborate with IT, Security, Enterprise Applications, and business teams to deliver successful outcomes. ## Related Videos - [This App Reached 10,000 Users in One Week. 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