Salesforce

4 weeks ago

Senior Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead end-to-end technical delivery of agentic AI solutions inside enterprise environments. Own architecture decisions, mentor engineers, and set engineering standards for deploying agentic AI at scale, collaborating closely with Deployment Strategists to shape AI strategy and adoption.

Location: Munich

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: agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve technical blockers in production deployments, including data integration, model deployment, orchestration issues, and performance regressions.
•Mentor other engineers through code reviews and shared work, codifying patterns and reusable assets into playbooks for the org.

Travel: Medium travel

Key Requirements

•Fluent in German and English
•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
•Expert 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 prompt engineering and responsible AI practices

Experience:6+ yearsEnterprise AICloudSaaS

Education:Bachelor's

Skills:GermanEnglishProgrammingCommunicationLeadershipProblem-solving

Languages:GermanEnglish

Tech Stack:PythonJavaScriptTypeScriptJavaApexLangChainLlamaIndexSnowflakeDatabricksSalesforce Data 360Salesforce APIsLWCFlows

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: 4.1

Website LinkedIn Glassdoor

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Salesforce

4 weeks ago

Senior Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Munich

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: agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve technical blockers in production deployments, including data integration, model deployment, orchestration issues, and performance regressions.
•Mentor other engineers through code reviews and shared work, codifying patterns and reusable assets into playbooks for the org.

Travel: Medium travel

Key Requirements

•Fluent in German and English
•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
•Expert 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 prompt engineering and responsible AI practices

Experience:6+ yearsEnterprise AICloudSaaS

Education:Bachelor's

Skills:GermanEnglishProgrammingCommunicationLeadershipProblem-solving

Languages:GermanEnglish

Tech Stack:PythonJavaScriptTypeScriptJavaApexLangChainLlamaIndexSnowflakeDatabricksSalesforce Data 360Salesforce APIsLWCFlows

Company Brief

Salesforce

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: 4.1

Website LinkedIn Glassdoor