Principal AI Architect

About the role

Salesforce is looking for a Principal AI Architect (also called AI and Data Technical Architect) to act as a senior, hands-on technical leader and trusted advisor to customers. The role designs, validates and operationalizes enterprise-grade data and AI architectures centred on Salesforce D360 and the Agentforce platform, working alongside Account Executives and Product teams. It sits at the intersection of data engineering, platform architecture and applied AI, and is based in London on a hybrid model.

Key responsibilities

• Lead pre-sales technical design by analysing customer needs and recommending solutions aligned with Agentforce capabilities and external agent frameworks.
• Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud and cross-platform integrations.
• Build hands-on prototypes and demos with Account Executives and SEs, and run whiteboarding and deep-dive workshops for customers and internal teams.
• Create thought leadership content such as demo templates, whitepapers and enablement sessions.
• Act as a central technical knowledge resource, answering internal technical questions, enabling specialist teams and documenting best practices.
• Integrate Data Cloud (D360), CRM, MuleSoft APIs and external agent endpoints in line with compliance and governance.
• Occasionally support early adoption by tuning agents in proof-of-value engagements after sale.
• Own technical architecture decisions (data modelling, identity resolution, real-time vs batch, data graph design) and maintain technical documentation and FAQs.

Required profile

• 7+ years in customer-facing technical pre-sales, solution architecture or technical advisory, working side-by-side with Account Executives.
• Proven experience designing AI, GenAI and Data architectures on platforms such as AWS, Azure, Databricks, Google Cloud, Snowflake or Palantir.
• Experience building and prototyping with frontier LLMs and modern AI tools, including multi-agent orchestration.
• Experience with RAG, prompt engineering, background or conversational agents, voice AI or open protocols such as MCP and A2A.
• Ability to lead technical discovery workshops and co-create rapid proof-of-value prototypes in less than two weeks.

Required skills

• Agentforce, Agent Builder and Agentforce Studio
• Data Cloud (D360)
• Open standards such as MCP and A2A
• Preferred: Salesforce CRM, MuleSoft, voice pipelines, MLOps, vector search, model fine-tuning