Principal AI Platform Engineer & Data Scientist

salesforce.com, inc.; San Francisco (CA); On-site; USD 97,000 - 345,000; Full time

Job summary

Salesforce is seeking a Principal Software Engineer / Data Scientist, AI to lead the design and implementation of agentic AI foundations for database engineering and operations. You will own end-to-end development of full-stack, full-lifecycle agentic systems and workflow automation, including memory, knowledge graphs, and evaluation.

You should have 10+ years of professional experience. Strong skills in Python/Java, Unix/Linux, distributed systems, and experience building production AI with

Qualifications

• Hands-on experience shipping full-stack, full-lifecycle agentic AI systems in production.
• Strong programming in Python and Java in a Unix/Linux environment; distributed systems expertise.
• Judgment about what makes agents reliable at scale: grounding, evaluation, and guardrails against failure modes.

Responsibilities

• Own the design and hands-on implementation of the agentic AI foundation for database engineering and operations.
• Develop full-stack, full-life-cycle agentic systems and workflow automation.
• Build knowledge graphs, agentic memory, and unified evaluation with data curation.
• Scale production AI across the platform with robust guardrails and telemetry.

Skills

Python

Java

Unix/Linux

Distributed systems

LLM orchestration

Knowledge grounding

Evaluation

Tool integration

Tools

Airflow

MLflow

Trino

Knowledge graphs

Job description

Salesforce is seeking a Principal Software Engineer / Data Scientist, AI to lead the design and implementation of agentic AI foundations for database engineering and operations. You will own end-to-end development of full-stack, full-lifecycle agentic systems and workflow automation, including memory, knowledge graphs, and evaluation.

You should have 10+ years of professional experience. Strong skills in Python/Java, Unix/Linux, distributed systems, and experience building production AI with