Senior Forward Deployed Engineer

Salesforce
Munich, Frankfurt, Berlin, Düsseldorf, Stuttgart
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Problem-solving"]

Senior technical leader who designs, builds, and deploys end-to-end agentic AI solutions inside enterprise environments. Own architecture decisions, mentor engineers, and set coding standards while collaborating with Deployment Strategists to deliver high-impact AI deployments at scale on the Agentforce platform.

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FursaFursa
Salesforce
Salesforce
2 months ago

Senior Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Senior technical leader who designs, builds, and deploys end-to-end agentic AI solutions inside enterprise environments. Own architecture decisions, mentor engineers, and set coding standards while collaborating with Deployment Strategists to deliver high-impact AI deployments at scale on the Agentforce platform.
Location: Munich, Frankfurt, Berlin, Düsseldorf, Stuttgart
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Own end-to-end build and deployment of agentic AI solutions for Salesforce’s strategic customers, from architecture decisions through production handoff
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, multi-agent orchestration, and integration patterns for enterprise environments
  • •Provide technical depth during at-risk deployments and mentor engineers through code reviews and pair programming
  • •Partner with Deployment Strategists to translate complex customer challenges into actionable, scalable AI solutions and influence product and engineering roadmaps
  • •Maintain high engineering standards, pilot new AI tools, and share learnings to create reusable playbooks and patterns across the organization
Travel: Low travel

Key Requirements

  • •6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments
  • •Degree in Computer Science or a related field
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex and conversant in the others
  • •Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex with responsible AI practices
  • •Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks
Experience:6+ yearsEnterprise AISaaSCloudAICRM
Education:Bachelor's
Skills:CommunicationLeadershipProblem-solving
Languages:GermanEnglish
Tech Stack:PythonJavaScriptTypeScriptJavaApexLangChainLlamaIndexSnowflakeDatabricksSalesforce Data 360Salesforce APIsLWC

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor