Description
As a Principal AI Architect at Salesforce, you will act as a senior, hands-on technical leader and trusted advisor to customers. You will design, validate, and operationalize enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform.
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 into Agentforce via open standards.
- 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 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, CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures.
- 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.
Required Qualifications:
- 7+ years in customer-facing technical pre-sales, solution architecture, or technical advisory.
- Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS, Microsoft, Databricks, Google Cloud, Snowflake, or Palantir.
- Direct hands-on experience building, prototyping, or solutioning with frontier LLMs and modern AI tools.
- Experience with Retrieval-Augmented Generation, prompt engineering, background/conversational agents, voice AI integrations, or open protocols.
- Demonstrated ability to lead technical discovery workshops and co-create rapid proof-of-value prototypes for C-suite stakeholders.
- Based in London, UK (hybrid model).
Preferred Qualifications:
- Prior familiarity or hands-on experience with Salesforce CRM, Agentforce Studio, or Data Cloud.
- Experience with voice pipelines, MLOps, vector search, or custom model fine-tuning.
- Education: BS/MS in Computer Science, Artificial Intelligence, Engineering, or equivalent technical field