Evaluate and prototype GCP tools like Agentspace ADK to identify the best fit for our needs
Build and maintain internal AI tools and workflows, acting as the go-to contact for support requests
Implement and manage an internal AI agent/workflow manager (e.g., Agentspace or similar), including access controls and change management
Manage projects related to data sources and AI-powered tools, focusing first on internal productivity gains, with learnings later applied to customer-facing tools
Lead technical discovery sessions with different departments to uncover high-impact AI use cases
Translate complex technical strategies into plain language for non-technical stakeholders
Partner with IT, Engineering, People, and leadership teams to roll out solutions that scale

Experience working directly with AI or LLM technologies and guiding others in their adoption
Background in computer science, software engineering, or related technical field
Experience deploying and maintaining cloud-based applications or automations, focusing on security, access, and collaboration
Proven ability to lead projects end-to-end and document requirements, test plans, and deployments clearly
Familiarity with APIs, connectors, integration strategies, preferably with Google Cloud Platform or AWS
Knowledge of identity and access management protocols (OAuth, OIDC, SAML) and system security
Excellent communication skills bridging technical and non-technical teams

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AI Solutions Architect

7shifts