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Principal AI Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: MOBOLISE
Full Time position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 GBP Yearly GBP 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category:
Sales

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Overview

of the Role
  • 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 360, 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, technical effectiveness and latest innovation trends.
  • 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.
  • You are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you!
Responsibilities
  • 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.
  • Lead Pre‑Sales Workshops – Facilitate whiteboarding, deep‑dive sessions, and quick enablement for customers and internal teams.
  • Advise on Data & Integration – Integrate Data Cloud (D360), CRM, Mule Soft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.
  • 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 to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.
Required Qualifications
  • Technical Pre‑Sales/Consulting – 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
  • Salesforce Expertise – Hands‑on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
  • External Ecosystem Knowledge – Strong understanding of external agent ecosystems and interoperability.
  • Proven Track Record – Experience in prompt engineering, agent lifecycle management, and hands‑on prototype development.
  • AI & ML Expertise – Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
  • Data Stack Knowledge – Deep expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, Redshift) and data ingestion patterns (batch, streaming, CDC).
  • Hands‑On Development – Proficiency in…
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