Senior Enterprise AI Engineer, IT Operations at 6sense · LumiJobs
senior
$127k–$187k
H1B: no
6sense Senior Enterprise AI Engineer at 6sense responsible for building and deploying AI-driven systems and workflow automation to improve internal operations. Ensures security, compliance, and scalability of AI solutions.
Responsibilities
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.
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.
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.
AI Governance, Security, and Risk
Implement security, privacy, and compliance requirements within AI solutions.
Qualification
Strong understanding of APIsCore CompetenciesAI and automation mindset
Required
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
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.
