Senior AI Platform Architect - Hands-On, Remote

Salesforce, Inc.

San Francisco (CA)

Hybrid

USD 197,000 - 314,000

Full time

14 days+

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Job summary

Salesforce, Inc. in San Francisco, CA seeks a Principal Software Engineer to lead the PMTS architecture and deliver high-scale AI-enabled SaaS products. You will work hands-on, define standards, and guide cross-functional teams to build robust systems.

The role emphasizes architecture governance, data-platform expertise, and delivering end-to-end solutions with a focus on reliability and performance. Hybrid office model and strong leadership are expected.

Qualifications

  • 12+ years building highly scalable SaaS applications and platforms.
  • Proven ability to independently craft and deliver large, sophisticated projects.
  • Track record as an architectural decision-maker—owning gates and driving alignment.
  • Deep data-management / data-platform expertise—data modeling, RDBMS & NoSQL, SQL/PL-SQL.
  • Experience building or delivering AI/GenAI platforms and products at scale.
  • Deep OO programming knowledge with at least one language (preferably Java).
  • Demonstrated thought leadership—blogs, papers, or patents.
  • Strong collaboration across multiple technical/business teams in agile env.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Architect, design, implement, test, and deliver highly scalable SaaS products—hands-on.
  • Serve as a final architectural authority, review initiatives, and enforce standards.
  • Set technical direction from Day 1 and align with security, cloud, and cost needs.
  • Troubleshoot complex production issues and interface with customers as needed.
  • Mentor architects and senior engineers to grow the technical leadership pipeline.

Skills

Architectural leadership
SaaS architecture
12+ years experience
Java
Data architecture
AI/GenAI platforms
API design

Job description

Salesforce, Inc. in San Francisco, CA seeks a Principal Software Engineer to lead the PMTS architecture and deliver high-scale AI-enabled SaaS products. You will work hands-on, define standards, and guide cross-functional teams to build robust systems.

The role emphasizes architecture governance, data-platform expertise, and delivering end-to-end solutions with a focus on reliability and performance. Hybrid office model and strong leadership are expected.

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