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Niche Databricks/LLM skillset and seniority reduce applicants, yielding moderate competition.
Databricks and enterprise LLM/agent expertise makes background fit highly domain-specific.
Requires specialized Databricks, enterprise LLM orchestration, and cloud architecture experience, so filters are strict.
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Architect and implement enterprise AI solutions using Databricks AI Gateway, including LLM access management, agent orchestration, and model governance.
Design and operationalize agentic AI workflows across hybrid cloud and on-premise environments integrating AWS, Azure, ServiceNow, Oracle, NVIDIA AI infrastructure, and other AI services.
Provide technology direction, ensure project compliance, and mentor junior architects or development team members within business unit leadership.
Experience designing and architecting enterprise AI solutions involving Databricks AI Gateway and agent-based workflows.
Work Experience Required: Not explicitly mentioned in the JD
Familiarity with multiple cloud AI platforms such as AWS Bedrock, Azure AI Foundry, ServiceNow AI Agents, Oracle AI Services, and NVIDIA AI Infrastructure.
Not explicitly mentioned any mandatory degree, location restriction, or notice period.
Experienced senior-level architect capable of leading AI solution design and complex integrations across hybrid cloud and on-premise environments.
Comfortable providing technology direction and mentoring in a leadership role within a digital consulting context.
Skilled in leveraging a broad AI technology stack including Databricks and multiple major cloud AI offerings to deliver enterprise-wide AI workflows.