Principal Data and AI Architect

Salesforce Salesforce · Enterprise · Sydney, Australia, Australia

Salesforce is seeking a Principal Data and AI Architect to lead technical design and operationalization of enterprise-grade data and AI architectures, focusing on their Agentforce platform and integrating external AI agents. This role involves guiding customers, shaping best practices in generative AI and agent interoperability, building prototypes, and advising on data integration within complex enterprise ecosystems.

What you'd actually do

  1. Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
  2. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.
  3. Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents.
  4. Develop thought leadership content—demo templates, whitepapers, enablement sessions—focused on agent lifecycle, integration strategy, and technical effectiveness.
  5. 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.

Skills

Required

  • 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
  • Strong understanding of external agent ecosystems and interoperability.
  • Experience in prompt engineering, agent lifecycle management, and hands-on prototype development.
  • Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
  • Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
  • Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.
  • Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.

Nice to have

  • Hands-on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
  • Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).
  • Familiarity with prompt governance, observability, and monitoring frameworks.
  • Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).
  • Prior experience with multimodal pipelines.

What the JD emphasized

  • agent interoperability
  • external agent frameworks
  • external agents
  • agent lifecycle
  • integration strategy
  • technical effectiveness
  • Agent Interoperability
  • external agents
  • Agentforce Studio
  • Agent Builder
  • external channels
  • Prompt Engineering & Lifecycle Strategy
  • agent lifecycle
  • Hands-On Demos & Prototypes
  • Agentforce
  • external agents
  • Data & Integration
  • external agent endpoints
  • Technical Architecture Decisions
  • Technical Enablement

Other signals

  • Designing, validating, and operationalizing enterprise-grade data and AI architectures
  • Guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions
  • Integrate D360 into complex enterprise ecosystems
  • 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
  • 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.
  • 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.
  • Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.