Forward Deployed Engineer (FDE) (Mid/Senior Level)

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. We're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. The world of work is changing, and we empower you to be a Trailblazer, driving your performance and career growth while improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you’ve come to the right place.

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, 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, with a focus on real code, real environments, and measurable business impact. This work spans configuration, customization, and full-stack deployment — shipping solutions customers depend on.

The Builder Experience

• AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow.
• Collaborative Delivery: Work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship, and have a clear path to leading complex deliveries yourself.
• Frontier Access: Work on capabilities most engineers won’t touch for months — spanning Agentforce, data, platform, and headless architectures. Your field insight will feed directly to the product teams building them.
• Continuous Innovation: Stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.

Responsibilities

• Develop AI agents and experiences that take real actions for real organizations, with solutions in production at some of the largest enterprises on the planet.
• 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 business 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.

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) — this is a requirement, not a nice-to-have.
• Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willingness to add to that list as the work demands.
• Hands-on experience 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 to design them, not just consume them.
• Ability to hold your own in a room with sales teams and customer architects.
• Commitment to shipping quality code and evaluating AI outputs with engineering rigor.
• Active tinkering with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what’s coming next.
• Thriving in a collaborative environment where you’re building something, not just talking about it.
• Willingness 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.

Pay

The typical base salary range for this position is $88,970 - $287,910 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $97,860 - $316,750 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only and does not include company bonus, incentive for sales roles, equity, or benefits, as applicable.

Benefits

• Time off programs.
• Medical, dental, vision, and mental health support.
• Paid parental leave.
• Life and disability insurance.
• 401(k) and an employee stock purchasing program.

More details about company benefits can be found at Salesforce Benefits.