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OnsiteStaff/Principal/Architectai/ml infra

Principal Data and AI Architect

SalesforceSingaporePosted 19 May 2026

This role acts as a senior technical leader at Salesforce, driving the design and implementation of AI-centric architectures using Agentforce and D360. The successful candidate will guide enterprise customers through complex integrations involving hyperscalers, data lakes, and generative AI frameworks. Responsibilities include building prototypes, developing technical thought leadership, and serving as a central knowledge resource. The position requires deep expertise in modern data stacks and hands-on experience with AI agent ecosystems.

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Experience

7+ years

Function

Engineering

Work mode

Onsite, Singapore

Company

Tier 1

What you will work on

This role acts as a senior technical leader at Salesforce, driving the design and implementation of AI-centric architectures using Agentforce and D360. The successful candidate will guide enterprise customers through complex integrations involving hyperscalers, data lakes, and generative AI frameworks. Responsibilities include building prototypes, developing technical thought leadership, and serving as a central knowledge resource. The position requires deep expertise in modern data stacks and hands-on experience with AI agent ecosystems.

TAL's take

Quality 90/1005/5 clarityTier 1 company

High-impact principal architect role at a tier-1 company focusing on cutting-edge AI and data integration strategy.

The JD provides a highly specific description of duties, technical stack, and responsibilities regarding Agentforce and data architectures.

Salaries at Salesforce

36.6 LPA average

Based on 929 Grapevine salary entries for Salesforce.

View all salaries

Engineering

0 - 2 years | AMTS

17 LPA average

Range: 8 - 30 LPA

Engineering

2 - 4 years | L4

28 LPA average

Range: 15 - 35 LPA

Engineering

4 - 6 years | L5

31 LPA average

Range: 2 - 59 LPA

Engineering

6 - 8 years | L6

41 LPA average

Range: 2 - 55 LPA

Must haves

  • 7+ years hands-on experience in data, analytics, and AI architecture
  • Hands-on experience with Salesforce Agentforce and D360
  • Deep expertise in modern cloud data platforms like Snowflake or Databricks
  • Proficiency in programming with Python, JavaScript, or SQL
  • Experience in prompt engineering and agent lifecycle management

Tools and skills

salesforce agentforced360prompt engineeringmachine learningjavascriptpythonsqlrpandasjupytersnowflakedatabricksbigqueryredshift

Nice to have: mcp, a2a, mulesoft, tensorflow, pytorch, google vertex ai, aws sagemaker, mlops.

About the company

Salesforce is a leading global technology company with a significant established engineering footprint.

Posts mentioning Salesforce