Staff Enterprise AI Engineer
$181,374–$235,015 year
RemoteUnited States
Job Summary
Design and implement enterprise AI systems using Workato, MCP frameworks, and Microsoft 365 Copilot to automate cross-functional workflows across IT, Security, Finance, HR, Legal, Tech, and GTM. Build and orchestrate AI agents that reduce operational toil by eliminating repetitive manual processes while embedding security, privacy, and compliance controls aligned with SOC 2, ISO 27001, and ISO 42001 standards. Create reusable templates, SDKs, and connectors to scale internal AI capabilities across teams, partnering with senior stakeholders to translate business problems into scalable solutions. Partner with IT, Security, and Enterprise Apps to operationalize AI at scale, ensuring alignment with AI governance frameworks and responsible AI practices.
Required Qualifications
- 7+ years in enterprise engineering, automation, or IT systems
- Hands-on experience building integrations and workflows using platforms like Workato or similar
- Experience with LLM-based systems including prompt design, agent orchestration, and tool usage
- Strong understanding of SaaS ecosystems and API-driven architectures
- Experience implementing security and compliance controls in cloud-native environments (AWS preferred)
- Ability to operate at both deep technical and strategic levels
Desired Qualifications
- Experience with MCP or similar model context and agent frameworks
- Experience with Microsoft 365 Copilot extensibility and Graph API
- Experience with Claude or other enterprise LLM platforms
- Exposure to AI governance frameworks and responsible AI practices
- Background in scaling internal platforms in a high-growth SaaS company
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