Forward Deployed Engineer (FDE) - Public Sector, Nonprofit & Education
About The Position
Salesforce is seeking experienced Technical Builders, known as Forward Deployed Engineers (FDEs), to design, build, and deploy agentic AI solutions directly within enterprise customer environments. As part of a delivery team, you will collaborate with a Deployment Strategist to co-build solutions that go live in production from day one. Engagements can range from a single large strategic customer to multiple accounts simultaneously, focusing on real code, real environments, and measurable business impact. This role involves configuration, customization, and full-stack deployment of critical solutions. This specific posting is for teams supporting Global Public Sector (Government, Nonprofit, and/or Education). The role emphasizes AI-Powered Development using tools like Cursor, Claude, and Salesforce coding products. You will engage in Collaborative Delivery alongside Senior FDEs and a Deployment Strategist, owning components, receiving mentorship, and progressing towards leading complex deliveries. Frontier Access means working with evolving agentic AI platform capabilities, including Agentforce, data, platform, and headless architectures, with your insights feeding back to product teams. Continuous Innovation is expected, requiring experimentation with emerging AI tools, models, and frameworks, and sharing knowledge.
Requirements
- Production experience required.
- Builder mindset non-negotiable.
- Degree in Computer Science or a related field.
- 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system ideally in an AI tech stack, full-stack development, or working with frontier models.
- Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) is a requirement.
- Proven experience managing and delivering customer-facing projects within Public Sector, Higher Education, or Nonprofit environments.
- Fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex, with willingness to learn others.
- Hands-on experience with LLMs and prompt engineering, including the ability to diagnose and improve prompts.
- Deep understanding of data modeling, APIs, and integration patterns.
- Ability to effectively communicate with sales teams and customer architects.
- Commitment to shipping quality code and evaluating AI outputs with engineering rigor.
- Active engagement in experimenting with the evolving AI/data landscape, piloting new tools and models.
- Excited to travel ~25% of the time, working directly alongside customers.
Nice To Haves
- Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
- Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns.
- Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
- Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments.
Responsibilities
- Develop AI agents and experiences that take real actions for real organizations, with solutions in production at large enterprises.
- Design agent intelligence, including prompts, reasoning, tool calls, and integration with customer systems, using the Agentic AI platform and LLM techniques.
- Own technical components end-to-end, from architecture choice to deployed, validated, and observable production systems.
- Build and integrate data pipelines on platforms like Salesforce Data 360, Snowflake, Databricks, and customer data platforms, including data modeling, pipeline shipping, and output validation.
- Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
- Contribute to proofs-of-concept and MVPs, moving from sketch to deployable in days.
- Co-build alongside customers and partners, sharing best practices and enablement to enhance team capabilities.
- Surface platform gaps, edge cases, and field insights to senior Engineers and the product team.
- Partner with the Deployment Strategist to translate customer business challenges into deployable agentic solutions.
Benefits
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
