AI Solutions Engineer: Agentic Delivery Expert

Salesforce

San Francisco (CA)

On-site

USD 97,000 - 317,000

Full time

3 days ago
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Job summary

Salesforce is seeking a hands-on Solution Builder to design, build, and deploy production-grade agentic AI systems directly at customer sites. You will work in a small two-person pod, owning the build while partnering with a Director who guides strategy and relationships.

You will implement AI agents, data pipelines, and production infra, with direct customer engagement, architectural reviews, and field-ready reference implementations. The role requires travel and a deep delivery mindset.

Qualifications

  • 4–8+ years in software engineering, AI delivery, or technical consulting with hands-on production ownership.
  • Proven track record shipping production software, not just prototypes or demos.
  • Hands-on experience with LLM integration and agent frameworks.
  • Fluency in Python, JavaScript/TypeScript, Java, or Apex and related data modeling.

Responsibilities

  • Architect, build, and deploy production-grade AI agent solutions end-to-end.
  • Own data pipelines, integrations, and production AI infra across platforms.
  • Work closely with a pod partner and Director to deliver customer-ready software.
  • Communicate blockers and architecture tradeoffs clearly to keep delivery aligned.
  • Travel to customer sites ~25% as part of delivery.

Skills

Software engineering
AI delivery
Hands-on ownership
Python
JavaScript/TypeScript
Java
Apex
LLM integration
Communication
Autonomy

Education

Bachelor's degree in CS or related

Tools

LangChain
LlamaIndex
Snowflake
Databricks
Salesforce APIs

Job description

Salesforce is seeking a hands-on Solution Builder to design, build, and deploy production-grade agentic AI systems directly at customer sites. You will work in a small two-person pod, owning the build while partnering with a Director who guides strategy and relationships.

You will implement AI agents, data pipelines, and production infra, with direct customer engagement, architectural reviews, and field-ready reference implementations. The role requires travel and a deep delivery mindset.

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