Senior Enterprise AI Engineer, IT Operations
Build and deploy secure enterprise AI agents, integrations, and automated workflows that improve internal productivity and business operations. The role requires at least five years of enterprise, software, automation, or IT systems engineering experience, plus hands-on workflow and LLM application development.
About the job
Responsibilities
- Design, build, and deploy secure, production-ready 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.
- Create reusable patterns for agent orchestration, prompt design, context management, and human-review workflows.
- Build and maintain end-to-end automated workflows and integrate SaaS applications, internal systems, and data services.
- Identify opportunities to reduce manual effort through automation and process optimization.
- Implement security, privacy, compliance, and responsible-AI controls, including protections against data leakage, prompt injection, and unauthorized access.
- Develop reusable AI components, templates, and integrations; document implementation patterns and support internal teams adopting AI-enabled workflows.
- Leverage enterprise AI tools to improve employee productivity, identify high-value use cases, and measure solution effectiveness.
- Partner with business stakeholders, IT, Security, Enterprise Applications, and other teams to translate operational requirements into scalable implementations.
Requirements
- 5+ years of experience in enterprise engineering, software engineering, automation, or IT systems.
- Hands-on experience building integrations and workflows with Workato, Tines, or similar platforms.
- Experience 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 in cloud environments.
- Strong problem-solving skills and ability to independently deliver technical solutions.
Nice-to-Haves
- Experience with MCP or similar agent and context-management frameworks.
- Experience extending Microsoft 365 Copilot and using 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.
Compensation and Benefits
- Base salary: $127,460.25–$186,941.70 annually.
- Additional compensation may include a bonus or commission plan and stock options.
- Benefits include health insurance, paid parental leave, life and disability insurance, 401(k) matching, paid holidays, self-care days, paid time off, learning and development resources, and wellness programs.
Skills
Workato, Mcp, Microsoft 365 Copilot, Claude, Prompt Engineering, AI Agents, APIs, Saas Integrations, Microsoft Graph Api, Cloud Security, Ai Governance, Workflow Automation
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