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Salesforce Principal Technical Architect Agentforce 
Singapore, Singapore 
134300341

17.04.2025

Job Category

Job Details

Role 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:

Create and deliver relevant content—demos, videos, white-papers, enablement sessions—to both internal and external audiences, establishing yourself as a leader with vision for Agentforce.

Responsibilities

Showcase Real-World Solutions: Partner with Sales and Solutions Engineering to build compelling demos and prototypes that illustrate immediate ROI and practical use.

Develop Cross-Platform Solutions: Integrate data cloud, CRM, analytics tools, and cloud services (REST APIs, SDKs, data pipelines) into scalable, cohesive architectures.

Lead Technical Thought Leadership: Produce best-practice documentation, architectural diagrams, and enablement materials that highlight emerging AI trends and Agentforce innovations.


Requirements

TechnicalPre-Sales/Consulting:Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.

AI & ML Expertise: Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.

REST APIs & SDKs: Proven track record to leverage APIs and SDKs to build robust, scalable solutions.


Preferred Requirements

Data & Cloud Platforms: Familiarity with databases (Snowflake, Databricks), ETL processes, and cloud providers (AWS, Azure, GCP).

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.

NOTE: This role is office-flexible, and the expectation is to be in-office a minimum of 3 days per week.

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