Location
London, UK (hybrid model)

Hours
Full Time

Salary
Negotiable

About the Role
Salesforce is the #1 AI CRM, where ambition meets action and innovation is a way of life. As a Principal AI Architect, you will be a senior, hands-on technical leader and trusted advisor responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce Data Cloud (D360) and the Agentforce platform. This role bridges data engineering, platform architecture, and applied AI, guiding customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will collaborate closely with Account Executives and Product teams to design scalable, secure solutions integrating D360 into complex enterprise ecosystems including hyperscalers, data lakes, and governance frameworks.

Key responsibilities include leading pre-sales technical design, shaping best practices around generative AI and agent interoperability, building prototypes and demos, developing thought leadership content, and acting as a central technical knowledge resource. You will enable conversational and background agents, drive prompt engineering and lifecycle strategy, lead workshops, advise on data and integration, support early adoption, and own technical architecture decisions and enablement.

If you are passionate about AI and data, enjoy exploring new technologies, educating others, and delivering impactful solutions, this role offers a unique opportunity to shape the future of AI at Salesforce.

Experience
- 7+ years in customer-facing technical pre-sales, solution architecture, or technical advisory roles partnering with Account Executives to drive enterprise deals.
- Proven experience designing and delivering AI, GenAI, and data architectures on platforms such as AWS (Bedrock/SageMaker), Microsoft Azure AI, Databricks, Google Cloud Vertex AI, Snowflake, or Palantir.
- Hands-on experience building or prototyping with frontier LLMs and modern AI tools including OpenAI, Claude, LangChain, LangGraph, Cursor, or multi-agent orchestration frameworks.
- Expertise in agent interoperability, open standards (MCP, A2A), Retrieval-Augmented Generation (RAG), prompt engineering, background/conversational agents, and voice AI integrations.
- Demonstrated ability to lead technical discovery workshops and rapid prototyping for C-suite stakeholders.

About you
- Naturally curious about AI and data technologies.
- Strong collaborator who enjoys educating others and crafting scalable, secure solutions.
- Comfortable working at the intersection of data engineering, platform architecture, and applied AI.
- Able to guide customers through complex technical landscapes and emerging AI innovations.

Qualifications
- BS/MS in Computer Science, Artificial Intelligence, Engineering, or equivalent technical field.
- Preferred: Familiarity with Salesforce CRM, Agentforce Studio, Data Cloud (D360), multi-modal AI frameworks, voice pipelines, MLOps, vector search, or custom model fine-tuning.