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Salesforce

Builds cloud software for customer relationships

Lead Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeZürich, SwitzerlandNo salary listed

About the Job

Requirements

  • Have at least 7 years of software engineering or technical delivery experience and be able to discuss multiple production systems.
  • Have customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering.
  • Be fluent in at least two of Python, JavaScript/TypeScript, Java, or Apex.
  • Have hands-on experience with large language models and prompt engineering, an understanding of data modelling, application programming interfaces, and integration patterns, and the ability to lead technical conversations with customer architects and executive stakeholders.
  • Be fluent in English and at least one of German or French, spoken and written.
  • Be willing to travel approximately 25% of the time.

Responsibilities

  • Lead design and build of AI agents and experiences that take actions for organizations, owning complex technical components end-to-end from architecture through production deployment, validation, and observability, including agent intelligence design, prompts, reasoning, tool calls, and integrations with customer systems.
  • Build and integrate data pipelines on Salesforce Data Cloud, Snowflake, Databricks, and customer data platforms, and oversee agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
  • Lead proofs of concept and minimum viable products from concept to deployable solutions in days, co-building alongside customers and partners, sharing best practices, and enabling customer and partner teams.
  • Serve as a senior technical voice in the delivery pod, surface platform gaps, edge cases, and field insights to product teams, mentor junior engineers, and partner with the Deployment Strategist to translate customer business challenges into agentic solutions.

Desired Qualifications

  • Hold multiple Salesforce platform certifications, such as Platform Developer I, Agentforce Specialist, or architect-level credentials.
  • Have familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns.
  • Have experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and a track record in specialist AI delivery areas such as data engineering, platform architecture, or headless deployments.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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