Principal AI Architect

Salesforce, Inc.; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global technology company is seeking an Agentforce Technical Architect to guide customers through AI solutions. The role involves pre-sales design, prompt engineering, and developing prototypes. Candidates should have hands-on experience with Salesforce Agentforce and strong technical pre-sales expertise. Join us in transforming AI-driven business solutions while ensuring technical excellence.

Qualifications

• Several years in solutions engineering, architecture, or technical consulting.
• Strong understanding of external agent ecosystems and interoperability.
• Proven track record in prompt engineering and hands-on prototype development.

Responsibilities

• Lead pre-sales technical design and analyze customer needs.
• Drive prompt design, testing, monitoring, and iteration.
• Create and manage accessible technical documentation.

Skills

AI/ML Expertise

Hands-on experience with Salesforce Agentforce

Technical Pre-Sales/Consulting experience

Excellent Communication

Tools

JavaScript

Python

SQL

Job description

Overview

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Role

As an Agentforce Technical Architect, you'll act as a trusted advisor to our customers, guiding them through the emerging AI solutions and ensuring they realize the full value of the platform. You'll combine deep technical domain expertise in AI/ML, data infrastructure, and CRM with strong presentation and solutioning skills. Working side by side with our Account Executives, Solutions Engineers, Product, and Product Marketing teams, you will:

• 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.

If you are naturally curious about AI, 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, CRM, MuleSoft 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 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.

Requirements

• Technical Pre-Sales/Consulting: Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.
• Hands-on experience with Salesforce Agentforce
• Strong understanding of external agent ecosystems and interoperability
• Proven track record 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.
• CRM & Data Knowledge: Familiarity with Salesforce CRM and modern data stacks; comfortable discussing governance, security, and integration.
• Hands-On Development: Proficiency in programming (e.g., JavaScript, Python, SQL) or Salesforce development (Apex, Lightning Web Components, etc.).
• Excellent Communication: Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.
• Curiosity & Continuous Learning: Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies.

Preferred Requirements

• Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).
• Familiarity with prompt governance, observability, and monitoring frameworks.
• Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).
• Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services.
• Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering.

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Accommodations

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Posting Statement

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