1 week ago

Principal Data & AI Architect - Pre-Sales

Salesforce

Sydney

1 week ago

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Salesforce is seeking a Principal Data & AI Architect for a pre-sales role in Sydney, Australia. The position requires 7+ years of experience designing data, analytics, and AI architectures, with deep expertise in cloud data platforms and hands-on development. The architect will act as a senior technical leader, guiding customers on Agentforce and Data Cloud 360 solutions.

AI-enabledOn-siteFull-timeSeniorSnowflakeDatabricks

Principal Data & AI Architect - Pre-Sales

Apply

AI-enabledOn-siteFull-timeSeniorSnowflake

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Experience Required

7 years

Employment Type

Full-time

Experience Level

7+ years

Core Qualifications

Technical (Must-have)

SnowflakeDatabricksBigQueryAmazon RedshiftJavaScriptPythonSQLRpandasJupyterMachine LearningGenerative AIPrompt EngineeringData CloudMuleSoft

Soft Skills

CommunicationPresentationCuriosityContinuous LearningLeadershipCollaboration

Preferred Qualifications

Technical (Nice-to-have)

Salesforce AgentforceD360MCPA2ATensorFlowPyTorchMLOpsGoogle Vertex AIAWS SageMaker

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 to empower specialist teams across the organization.
•Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.
•Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs.
•Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement.
•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.
•Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.
•Support Early Adoption - Occasionally assist in proof-of-value engagements post-sale by tuning agents and guiding customers toward self-sufficient enablement.
•Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
•Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.

Pre-SalesData ArchitectAI ArchitectSalesforceAgentforceData CloudSydneyFull-timeOn-siteSenior

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 to empower specialist teams across the organization.

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

•Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs.

•Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement.

•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.

•Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.

•Support Early Adoption - Occasionally assist in proof-of-value engagements post-sale by tuning agents and guiding customers toward self-sufficient enablement.

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

•Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.