Forward Deployed Engineer

Salesforce
Munich
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 6+ yearsSkills: ["Code reviews","Pairing","Communication","Mentoring","Problem-solving"]

Own end-to-end build and deployment of agentic AI solutions for Salesforce’s most strategic customers, from architecture decisions through production handoff. Lead technical delivery with a Deployment Strategist, design agent systems on the Agentforce platform, and integrate LLMs into production using guardrails and orchestration patterns. Drive data lifecycle work across Salesforce Data 360, Snowflake, and Databricks, unblock complex engineering issues, and mentor engineers through code reviews and shared development.

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FursaFursa
Salesforce
Salesforce
4 days ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Own end-to-end build and deployment of agentic AI solutions for Salesforce’s most strategic customers, from architecture decisions through production handoff. Lead technical delivery with a Deployment Strategist, design agent systems on the Agentforce platform, and integrate LLMs into production using guardrails and orchestration patterns. Drive data lifecycle work across Salesforce Data 360, Snowflake, and Databricks, unblock complex engineering issues, and mentor engineers through code reviews and shared development.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with a Deployment Strategist to own customer outcomes end-to-end and ensure engineering deliverables meet high standards.
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise-ready integration patterns.
  • •Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, and Databricks.
  • •Resolve technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • •Mentor other engineers through code reviews, pair sessions, and shared work while surfacing field insights to Product and Engineering.
Travel: Medium 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.
  • •Fluency in German and English.
  • •Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex, including prompt engineering and responsible AI practices.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • •Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
Experience:6+ yearsEnterprise AICloudSaaS
Education:
Skills:Code reviewsPairingCommunicationMentoringProblem-solving
Certifications:Salesforce AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect
Languages:GermanEnglish
Tech Stack:PythonJavaScriptTypeScriptJavaApexCursorClaudeAgentforceLangChainLlamaIndexSalesforce Data 360SnowflakeDatabricksLWCFlowsSalesforce APIsMulti-agent orchestrationPrompt engineering

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