Senior Enterprise AI Engineer (IT Operations)

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• What Good Looks Like
• Delivers production-ready AI solutions that create measurable business value
• Builds maintainable and scalable systems rather than one-off automations
• Collaborates effectively across technical and business teams
• Balances innovation with security, governance, and operational excellence
• Continuously improves workflows through automation and AI capabilities

Benefits

• Health & Wellness: Parental Leave, Wellness Days Off, Quarterly Wellness Speakers, Wellness Challenges
• Giving Back: Giving Fridays Rotating Charity Support, 6sense Gives Back Programs, Month of Service
• Social Well Being: Flexible Time Off, HUB Working Model, WeWork Access
• Professional Development: LinkedIn Learning Courses, WFH Stipend, Revenue Certifications, Management Training- Strong understanding of APIs, integrations, and SaaS ecosystems
• Hands-on experience building integrations and workflows using Workato, Tines, or similar platforms
• Experience implementing security and compliance controls within cloud-based environments
• Strong problem-solving skills and ability to independently deliver technical solutions
• 5+ years of experience in enterprise engineering, software engineering, automation, or IT systems
• Experience working with LLM-based applications, prompt engineering, AI assistants, or agent frameworks
• Security-conscious development practices
• Cross-functional collaboration and communication
• Strong software and systems engineering fundamentals
• Bias for execution and continuous improvement
• Ability to simplify business processes through technology
• AI and automation mindset
• Experience supporting internal platforms or business systems within a SaaS company
• Experience with Claude or other enterprise AI platforms
• Experience with MCP or similar agent and context management frameworks
• Experience extending Microsoft 365 Copilot and le…