Forward Deployed Engineer (FDE) (Mid/Senior Level)
About the role
Production experience required. Builder mindset non-negotiable. Forward Deployed Engineers are 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, partnering closely with a Deployment Strategist to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously.
Responsibilities
- Ship real customer solutions, supported by best-in-class AI tools like Cursor, Claude, and Salesforce coding products like Vibes, embedded into your day-to-day workflow.
- Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
- Model the data, ship the pipeline, validate the output.
- Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
- Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
- Surface platform gaps, edge cases, and field insights to senior Engineers and the product team.
- Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
Requirements
- 3+ years (6-10 years for Senior levels) 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.
- A degree in Computer Science or a related field.
- Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering).
- Familiarity with at least one of Python, JavaScript/TypeScript, Java, or Apex.
- Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex.
- Experience with LLMs and prompt engineering.
- Deep understanding of data modeling, APIs, and integration patterns.
- Ability to hold your own in a room with sales teams and customer architects.
- Ability to ship quality code and evaluate AI outputs with engineering rigor.
- Active curiosity about the evolving AI/data landscape.
- Ability to thrive in a collaborative environment.
- Willingness to travel approximately 25% of the time, working directly alongside customers.
Qualifications
- Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
- Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns.
- Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments.
Skills
- Agentic AI development and deployment.
- Data modeling and pipeline management.
- Customer-facing technical delivery.
- LLM and prompt engineering.
- API and integration expertise.
- Collaboration and teamwork.
- Travel and remote work ability.
Benefits
At Salesforce, we offer a comprehensive benefits package to support your well-being and career growth. This includes:
- Time off programs
- Medical, dental, and vision insurance
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
For more details, visit Salesforce Benefits.
The typical base salary range for this position is $88,970 - $287,910 annually. Specific ranges apply to certain job locations. For more information, contact your recruiter.