Back
Niche Databricks/LLM architecture and seniority reduce candidate pool, lowering competition.
Highly domain-specific AI architecture and Databricks expertise limits cross-industry transferability.
Requires specialized Databricks/AI architecture skills and senior leadership experience, increasing filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and implement enterprise AI solutions using Databricks AI Gateway, managing LLM access, agent orchestration, model governance, and telemetry.
Design and operationalize enterprise-wide agentic AI workflows across hybrid cloud and on-premise environments involving AWS Bedrock, Azure AI Foundry, ServiceNow AI Agents, Oracle AI Services, and NVIDIA AI Infrastructure.
Provide technology direction, ensure project implementation compliance, participate in client pursuits, and mentor junior architects or development team members.
Experience in solution architecture for complex AI platforms using Databricks AI Gateway and related AI services and infrastructure.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Not explicitly mentioned in the JD.
No mandatory degree or certification explicitly mentioned.
Experienced in enterprise AI architecture with hands-on expertise in Databricks AI Gateway and multi-cloud AI service integrations.
Capable of leading AI workflow designs spanning hybrid cloud and on-premises systems, ensuring operational governance and observability.
Demonstrates leadership through mentoring, technology direction, and collaboration on sales and business pursuit activities.