Forward Deployed Engineer Lead

ph3Description /h3 pWe are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and 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. /p h3About the Role /h3 pProduction experience required. Builder mindset non-negotiable. /p pSalesforce 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 (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) 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. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment — shipping solutions customers depend on. /p h3The Builder Experience /h3 ul liAI-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. /li liCollaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. /li liFrontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them. /li liContinuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. /li /ul h3What You'll Actually Be Building /h3 ul liDevelop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. /li liDesign agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. /li liOwn technical components end-to-end: from architecture choice to deployed, validated, and observable in production. /li liBuild and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output /li liBuild and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. /li liContribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. /li liCo-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. /li liSurface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. /li liPartner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. /li /ul h3You're Our Forward Deployed Engineer If… /h3 ul liYou have 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 /li liYou have a degree in Computer Science or a related field /li liYou have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have. /li liYou're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands. /li liYou've been hands‑on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. /li liYou understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them. /li liYou can hold your own in a room with sales teams and customer architects. /li liYou ship quality code and evaluate AI outputs with engineering rigor. /li liYou actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. /li liYou thrive in the group chat that's building something, not just talking about it. /li liYou're excited to travel ~25% of the time, working directly alongside customers. /li /ul h3Nice-to-Haves /h3 ul liSalesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) /li liFamiliarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns /li liHands‑on with cloud data platforms (Snowflake, Databricks, BigQuery) /li liExperience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments /li /ul /p #J-18808-Ljbffr