Salesforce

Principal AI Architect

Salesforce
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2 days ago
London, United KingdomStaff+

Responsibilities

  • Lead pre-sales technical design, customer workshops, whiteboarding sessions, and solution recommendations aligned with Agentforce.
  • Design and operationalize enterprise data and AI architectures integrating Data Cloud, CRM, MuleSoft APIs, hyperscalers, data lakes, governance frameworks, and external agent endpoints.
  • Build rapid prototypes and demos integrating Agentforce with external agents, services, voice channels, and agent frameworks.
  • Configure conversational and background agents using Agentforce Studio and Agent Builder.
  • Lead prompt design, testing, monitoring, iteration, and agent lifecycle strategy.
  • Own architecture decisions involving data modeling, identity resolution, real-time and batch patterns, data graph design, and activation strategies within D360.
  • Create thought leadership, technical documentation, knowledge bases, FAQs, demo templates, whitepapers, and enablement sessions.
  • Support early post-sale proof-of-value engagements by tuning agents and guiding customers toward self-sufficient enablement.

Requirements

  • 7+ years of customer-facing technical pre-sales, solution architecture, or technical advisory experience partnering with Account Executives on enterprise deal cycles.
  • Experience designing and delivering AI, generative AI, and data architectures using platforms such as AWS Bedrock, Amazon SageMaker, Azure AI Foundry, Copilot, Databricks, Google Cloud Vertex AI, Snowflake, or Palantir.
  • Hands-on experience building, prototyping, or solutioning with OpenAI, Claude, LangChain, LangGraph, Cursor, or multi-agent orchestration frameworks.
  • Experience with Retrieval-Augmented Generation, prompt engineering, conversational or background agents, voice AI integrations, or open protocols such as MCP and A2A.
  • Experience leading technical discovery workshops and rapid proof-of-value prototypes for C-suite stakeholders and enterprise architects.
  • Preferred: familiarity with Salesforce CRM, Agentforce Studio, or Data Cloud/D360.
  • Preferred: experience with voice pipelines, MLOps, vector search, or custom model fine-tuning.
  • Preferred: BS or MS in Computer Science, Artificial Intelligence, Engineering, or an equivalent technical field.

Benefits

  • London, UK location with a hybrid work model.
  • Salesforce provides benefits and resources intended to support balance and well-being.
  • Reasonable accommodation is available during the application and recruiting process.

Tech Stack

AWSAzureDatabricksGoogle CloudSnowflake

Categories

Solutions Engineering
Salesforce

About Salesforce

10,000+ employees

Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.

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