About this role
About the Role
Salesforce is hiring Forward Deployed Engineers — experienced technical builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team alongside a Deployment Strategist to co-build production-ready AI solutions that go live from day one. The role spans configuration, customization, and full-stack deployment with real code and measurable business impact.
What You'll Do
- Develop AI agents and experiences that take real actions for real organizations, with production deployments across customer environments.
- Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
- Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
- Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms; model the data, ship the pipeline, validate the output.
- Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and outcomes.
- Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
- Co-build alongside customers and partners, sharing best practices and enablement as you go—leaving teams more capable after each engagement.
- Surface platform gaps, edge cases, and field insights to senior engineers and the product team; your real-world experience is the product feedback loop.
- Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
What We're Looking For
- 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through — ideally in an AI tech stack, full-stack development, or working with frontier models.
- Degree in Computer Science or a related field.
- Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.
- Fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.
- Hands-on with LLMs and prompt engineering; you can explain why a prompt failed and what you'd change.
- Deep understanding of data modeling, APIs, and integration patterns — you should be able to design them, not just consume.
- Ability to hold your own in a room with sales teams and customer architects.
- You ship quality code and evaluate AI outputs with engineering rigor.
- You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
- You thrive in the group chat that's building something, not just talking about it.
- You're excited to travel ~25% of the time.