AI Forward Deployed Engineer — Public Sector & Nonprofit

Salesforce

Austin (TX)

On-site

USD 88,970 - 316,750

Full time

14 days+

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Job summary

Salesforce is seeking Forward Deployed Engineers to design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You’ll work with a Deployment Strategist to co‑build solutions that go live in production from day one.

Ideal candidates have hands-on AI, data pipelines, and customer-facing delivery experience, and are fluent in Python/JS/Java/Apex while exploring new tools. Occasional travel of 25% is expected.

Qualifications

  • Degree in Computer Science or related field.
  • 3+ years of software engineering or technical delivery experience, with at least one production system.
  • Prior customer-facing technical delivery experience is required.
  • Experience delivering projects in Public Sector, Higher Education, or Nonprofit environments.
  • Fluency in Python, JavaScript/TypeScript, Java, or Apex and willingness to expand as needed.
  • Hands-on with LLMs and prompt engineering.

Responsibilities

  • Design agentic AI solutions and ship them into enterprise environments.
  • Own end-to-end components from architecture to deployment and observability.
  • Build data pipelines using Salesforce Data 360, Snowflake, and Databricks.
  • Develop agent performance dashboards and KPI reporting.
  • Collaborate with customers and partners to ship solutions.
  • Identify platform gaps and surface insights to product teams.

Skills

Python
JavaScript/TypeScript
Java
Apex
LLMs
Data modeling
APIs & integration
Customer-facing delivery

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain
LlamaIndex
Snowflake
Databricks
BigQuery
Agentforce
Salesforce Data 360
Cloud data platforms

Job description

Salesforce is seeking Forward Deployed Engineers to design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You’ll work with a Deployment Strategist to co‑build solutions that go live in production from day one.

Ideal candidates have hands-on AI, data pipelines, and customer-facing delivery experience, and are fluent in Python/JS/Java/Apex while exploring new tools. Occasional travel of 25% is expected.

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