Principal Data and AI Architect

Salesforce

Sydney

5 days ago

Sydney

5 days ago

Apply

Principal Data and AI Architect

Salesforce seeks a Principal Data and AI Architect to lead pre-sales technical design, validate enterprise-grade data and AI architectures centered on Salesforce D360 and Agentforce, and act as a senior technical advisor. This hybrid role in Sydney requires 7+ years of experience in data, analytics, and AI architectures, with expertise in cloud data platforms, AI/ML, and programming.

Apply

Hybrid

Full-time

Principal

D360

Agentforce

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Experience Required

7 years

Employment Type

Full-time

Experience Level

Principal: 7+ years

Core Qualifications

Technical (Must-have)

D360AgentforceCRMMuleSoftSnowflakeDatabricksBigQueryRedshiftPythonSQL

Soft Skills

communicationpresentationcuriositycontinuous learningproblem solving

Preferred Qualifications

Technical (Nice-to-have)

TensorFlowPyTorchGoogle Vertex AIAWS SagemakerMCPA2A

Key Responsibilities

•Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
•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—focused on agent lifecycle, integration strategy, and technical effectiveness.
•Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices.
•Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A).
•Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents.
•Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration.
•Build Hands-On Demos & Prototypes - Co-create quick prototypes (<2 weeks) with AEs demonstrating integration between Agentforce and external agents or services.
•Lead Pre-Sales Workshops - Facilitate whiteboarding, deep-dive sessions, and quick enablement for customers and internal teams.

PrincipalData ArchitectAI ArchitectSalesforceAgentforceD360Cloud Data PlatformsPre-salesHybridSydney

Key Responsibilities

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

•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—focused on agent lifecycle, integration strategy, and technical effectiveness.

•Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices.

•Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A).

•Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents.

•Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration.

•Build Hands-On Demos & Prototypes - Co-create quick prototypes (<2 weeks) with AEs demonstrating integration between Agentforce and external agents or services.

•Lead Pre-Sales Workshops - Facilitate whiteboarding, deep-dive sessions, and quick enablement for customers and internal teams.