Location
Central London
Hours
Full Time
Salary
Negotiable
About the Role
Salesforce is seeking Forward Deployed Engineers—experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You will 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 role involves configuration, customization, and full-stack deployment of solutions customers depend on.
As a Forward Deployed Engineer, you will ship real customer solutions supported by best-in-class AI tools embedded into your workflow. You will collaborate with Senior Forward Deployed Engineers and Deployment Strategists, owning technical components end-to-end and benefiting from structured mentorship. You will work on cutting-edge agentic AI platform capabilities and contribute field insights directly to product teams.
Your responsibilities include developing AI agents and experiences that take real actions for real organizations, designing agent intelligence using prompts, reasoning, tool calls, and integrations, building and integrating data pipelines on platforms such as Salesforce Data 360, Snowflake, and Databricks, and maintaining performance dashboards and KPI reporting. You will contribute to proofs-of-concept and MVPs, co-build alongside customers and partners, and provide feedback to improve the platform.
This role requires approximately 25% travel to work directly alongside customers. Join Salesforce to help redefine what’s possible for AI and the world.
Experience
- Minimum 3 years of software engineering or technical delivery experience, with at least one production system you can confidently discuss
- Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) is required
- Hands-on experience with LLMs and prompt engineering
- Fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex
- Experience with data modeling, APIs, and integration patterns
- Comfortable working with sales teams and customer architects
- Proven ability to ship quality code and evaluate AI outputs with engineering rigor
- Active experimentation with emerging AI tools, models, and frameworks
- Willingness to travel approximately 25% of the time
About You
You thrive in collaborative, fast-paced environments focused on building innovative AI solutions. You are curious, proactive, and eager to stay at the forefront of AI and data technology. You enjoy mentoring and enabling others, and you take pride in delivering impactful solutions that improve customer outcomes.
Qualifications
- Degree in Computer Science or a related field
- Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) are a plus
- Familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns is advantageous
- Experience with cloud data platforms like Snowflake, Databricks, or BigQuery is desirable
- Background in specialist AI delivery areas such as data engineering, platform architecture, or headless deployments is beneficial
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