Principal Data and AI Architect

Salesforce

Melbourne

2 days ago

Melbourne

2 days ago

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Principal Data and AI Architect

Salesforce seeks a Principal Data and AI Architect to lead pre-sales technical design, integrating AI and data architectures around Salesforce D360 and Agentforce. Requires 7+ years of hands-on experience in data, analytics, and AI architectures, with expertise in cloud data platforms and programming. The role is based in Melbourne, Australia with hybrid work.

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Hybrid

Full-time

Principal

Data Cloud (D360)

Agentforce

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid

Experience Required

7 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Data Cloud (D360)AgentforceSnowflakeDatabricksBigQueryRedshiftJavaScriptPythonSQLR

Soft Skills

communicationcuriositycontinuous learning

Tools (Must-have)

MuleSoftJupyterpandas

Preferred Qualifications

Technical (Nice-to-have)

TensorFlowPyTorchVertex AISageMaker

Key Responsibilities

•Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities.
•Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.
•Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents.
•Develop thought leadership content—demo templates, whitepapers, enablement sessions.
•Act as a central technical knowledge resource, addressing technical inquiries and documenting best practices.
•Map and integrate external agents from hyperscalers into Agentforce via open standards (MCP, A2A).
•Use Agentforce Studio and Agent Builder to configure chat and background agents.
•Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices.
•Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints.
•Oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.

PrincipalData ArchitectAI ArchitectSalesforceAgentforceData CloudHybridMelbournePre-SalesCloud Data Platforms

Key Responsibilities

•Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities.

•Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.

•Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents.

•Develop thought leadership content—demo templates, whitepapers, enablement sessions.

•Act as a central technical knowledge resource, addressing technical inquiries and documenting best practices.

•Map and integrate external agents from hyperscalers into Agentforce via open standards (MCP, A2A).

•Use Agentforce Studio and Agent Builder to configure chat and background agents.

•Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices.

•Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints.

•Oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.