Principal AI Architect

Salesforce, Inc..; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Salesforce, Inc. is seeking an Agentforce Technical Architect to act as a trusted advisor, guiding clients through AI solutions. The role involves technical design, collaboration with teams, and creating best practices around generative AI. Strong AI/ML expertise and hands-on development skills are essential, along with excellent communication abilities.

Qualifications

• Technical Pre-Sales/Consulting experience in B2B SaaS.
• Strong understanding of external agent ecosystems and interoperability.
• Proven track record in prompt engineering and agent lifecycle management.
• Experience with machine learning concepts and ability to communicate value.

Responsibilities

• Lead pre-sales technical design and recommend solutions.
• Enable Conversational & Background Agents using Agentforce.
• Drive Prompt Engineering & Lifecycle Strategy.
• Build hands-on demos and prototypes with external agents.

Skills

Solutions Engineering

Technical Consulting

Prompt Engineering

AI/ML Expertise

Communication

Curiosity

Education

Several years in solutions engineering or architecture

Tools

Salesforce Agentforce

JavaScript

Python

SQL

Job description

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:

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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