The AI Solutions Architect is responsible for the configuration, integration, and practical deployment of enterprise AI tools across the organization. This role owns the technical delivery of AI capabilities, from platform administration and API governance through to the design of reusable assets that enable business teams to embed AI into their workflows effectively and at scale.
Requirements
- Administer enterprise AI platforms, including AI-native and AI-embedded systems, managing licenses, workspace configurations, access controls, and usage policies across the organization
- Design and build reusable integration patterns, configuration templates, and AI-powered assets, including Custom AI Agents, Agentic Skills, and shared AI knowledge base Projects
- Support the integration of AI tools into core business systems, including Underwriting, Modeling, Ledger workflows, and other internal platforms, navigating both technical and process-level challenges
- Provide hands-on technical guidance to business teams, helping them identify sound AI approaches for their use cases and implement them effectively
- Assess and apply emerging AI platform capabilities, including agent skills, agent teams, subagents, and Custom MCP integrations
- Govern API connectivity between AI platforms and internal systems, ensuring integrations are secure, well-documented, and maintained to enterprise standards
- Identify and escalate risks associated with AI tool configurations and integrations, with particular attention to data handling, access controls, and regulatory compliance
- Maintain accurate documentation of deployed tools, active pilots, and assessed capabilities, supporting governance and audit readiness
Benefits
- Annual bonus based on company and individual performance
- Generous benefits package