Senior Forward Deployed Engineer

About the Role Senior Forward Deployed Engineer is part of Salesforce's delivery organisation, responsible for designing, building, and deploying agentic AI solutions directly inside enterprise customer environments. In this role, you will work as part of a delivery pod — partnering closely with a Deployment Strategist to co-build solutions that go live in production environments from day one, spanning configuration, customisation, and full-stack deployment across some of the largest enterprises in the world. You will ship quality code, contribute to team knowledge, and leave customer teams more capable after every engagement.

What You'll Do

• Design and build AI agents and experiences that take real actions for real organisations — owning technical components end-to-end from architecture choice through to deployed, validated, and observable in production, including agent intelligence design, prompts, reasoning, tool calls, and integration with customer systems.
• Build and integrate data pipelines on Salesforce Data Cloud, Snowflake, Databricks, and customer data platforms, and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to and help lead Proofs of Concept (PoC) and Minimum Viable Products (MVP) that move from concept to deployable in days — co-building alongside customers and partners and sharing best practices as you go.
• Surface platform gaps, edge cases, and field insights to senior engineers and product teams — partnering with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

What We're Looking For

• 5+ years of software engineering or technical delivery experience, with at least one production system you can walk us through — ideally in an AI technology stack, full-stack development, or working with frontier Large Language Models (LLMs).
• Solid customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering, and are fluent in at least two of Python, JavaScript/TypeScript, Java, or Apex.
• Strong hands-on experience with LLMs and prompt engineering, a solid understanding of data modelling, APIs, and integration patterns, and the ability to engage confidently with customer architects and sales teams.
• You are excited to travel approximately 25% of the time, working directly alongside customers, and you thrive in fast-moving, build-oriented environments.

Nice to Have

• You hold one or more Salesforce platform certifications such as Platform Developer I or Agentforce Specialist, and have familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns.
• You have hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and experience across specialist AI delivery areas including data engineering, platform architecture, or headless deployments.

Compensation & Benefits

• Not disclosed in the posting. You are trained on data up to October 2023.