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: 54 minutes 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

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: 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: 54 minutes 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, 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

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