About the Role
The Lead 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 lead a delivery pod and partner closely with a Deployment Strategist to co‑build solutions that go live in production from day one, spanning configuration, customisation, and full‑stack deployment across some of the largest enterprises in the world. What You'll Actually Be Doing
Lead the design and build of AI agents and experiences that take real actions for organisations—owning complex technical components end‑to‑end from architecture choice through deployment, validation, and observability 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 oversee agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Lead Proofs of Concept (PoC) and Minimum Viable Products (MVP) that move from concept to deployable in days—co‑building alongside customers and partners, sharing best practices, and enabling customer and partner teams as you go. Serve as a senior technical voice in your pod—surfacing platform gaps, edge cases, and field insights to product teams, mentoring junior engineers, and partnering with the Deployment Strategist to translate complex customer business challenges into agentic solutions that actually ship. You're Our Person If...
You have 7 or more years of software engineering or technical delivery experience, with multiple production systems you can walk us through—ideally in an AI technology stack, full‑stack development, or working with frontier LLMs at scale. You have extensive customer‑facing technical delivery experience in consulting, professional services, or forward‑deployed engineering, and are fluent in two or more of Python, JavaScript/TypeScript, Java, or Apex. You have deep hands‑on experience with LLMs and prompt engineering, expert‑level understanding of data modelling, APIs, and integration patterns, and the ability to lead technical conversations with customer architects and executive stakeholders. You are excited to travel approximately 25% of the time, working directly alongside customers, and thrive leading teams in fast‑moving, build‑oriented environments. Even Better If...
You hold multiple Salesforce platform certifications such as Platform Developer I, Agentforce Specialist, or Architect‑level credentials, and have deep familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns. You have expert‑level experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and a strong track record across specialist AI delivery areas including data engineering, platform architecture, or headless deployments. Accommodations
If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Salesforce uses AI tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt‑out options. Posting Statement
Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
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The Lead 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 lead a delivery pod and partner closely with a Deployment Strategist to co‑build solutions that go live in production from day one, spanning configuration, customisation, and full‑stack deployment across some of the largest enterprises in the world. What You'll Actually Be Doing
Lead the design and build of AI agents and experiences that take real actions for organisations—owning complex technical components end‑to‑end from architecture choice through deployment, validation, and observability 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 oversee agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Lead Proofs of Concept (PoC) and Minimum Viable Products (MVP) that move from concept to deployable in days—co‑building alongside customers and partners, sharing best practices, and enabling customer and partner teams as you go. Serve as a senior technical voice in your pod—surfacing platform gaps, edge cases, and field insights to product teams, mentoring junior engineers, and partnering with the Deployment Strategist to translate complex customer business challenges into agentic solutions that actually ship. You're Our Person If...
You have 7 or more years of software engineering or technical delivery experience, with multiple production systems you can walk us through—ideally in an AI technology stack, full‑stack development, or working with frontier LLMs at scale. You have extensive customer‑facing technical delivery experience in consulting, professional services, or forward‑deployed engineering, and are fluent in two or more of Python, JavaScript/TypeScript, Java, or Apex. You have deep hands‑on experience with LLMs and prompt engineering, expert‑level understanding of data modelling, APIs, and integration patterns, and the ability to lead technical conversations with customer architects and executive stakeholders. You are excited to travel approximately 25% of the time, working directly alongside customers, and thrive leading teams in fast‑moving, build‑oriented environments. Even Better If...
You hold multiple Salesforce platform certifications such as Platform Developer I, Agentforce Specialist, or Architect‑level credentials, and have deep familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns. You have expert‑level experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and a strong track record across specialist AI delivery areas including data engineering, platform architecture, or headless deployments. Accommodations
If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Salesforce uses AI tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt‑out options. Posting Statement
Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
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Lead Forward Deployed Engineer Arbeitgeber: 400 salesforce.com sarl
Salesforce ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in der Schweiz eine dynamische und unterstützende Arbeitsumgebung bietet. Mit einem starken Fokus auf persönliche und berufliche Weiterentwicklung sowie einer Kultur der Zusammenarbeit und Innovation, ermöglicht Salesforce seinen Mitarbeitern, bedeutende Beziehungen zu wichtigen Kunden im Einzelhandel und in der Konsumgüterbranche aufzubauen. Die Möglichkeit, in einem globalen Unternehmen zu arbeiten, das Vielfalt und Inklusion schätzt, macht diese Position besonders attraktiv für engagierte Vertriebsprofis.
