Forward Deployed Engineer (Technical Builder) at Salesforce

Job Summary

Forward Deployed Engineer (Technical Builder) – Salesforce – München, BY, DE. Full time, on site. Design, build, and deploy agentic AI solutions directly inside enterprise customer environments. Work with Deployment Strategist to co‑build solutions that go live in production from day one.

Responsibilities

• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end‑to‑end: from architecture choice to deployment, validation, and observability in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms; model the data, ship the pipeline, and validate output.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs‑of‑concept and MVPs that move from sketch to deployable in days, not months.
• Co‑build alongside customers and partners, sharing best practices and enablement as you go.
• Surface platform gaps, edge cases, and field insights to senior engineers and the product team.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that ship.
• Travel approximately 25% of the time, working directly alongside customers.

Qualifications

• Fluent in German and English.
• 3+ years of software engineering or technical delivery experience, with at least one production system you can walk us through – ideally in an AI tech stack, full‑stack development, or frontier models.
• Degree in Computer Science or related field.
• Prior customer‑facing technical delivery experience (consulting, professional services, or forward deployed engineering) – a requirement.
• Fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex, and willing to expand the list as needed.
• Hands‑on experience with LLMs and prompt engineering; can explain why a prompt failed and what would change.
• Deep understanding of data modeling, APIs, and integration patterns to design, not just consume.
• Able to hold your own in a room with sales teams and customer architects.
• Ship quality code and evaluate AI outputs with engineering rigor.
• Active curiosity toward evolving AI/data landscape – pilot new tools, experiment with models.
• Enjoy collaborative, rapid‑build environment.
• Excited to travel ~25% of the time.

Nice‑to‑Haves

• Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
• Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns.
• Hands‑on with cloud data platforms (Snowflake, Databricks, BigQuery).
• Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments.

Benefits

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

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Equal Employment Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and strive to create a workplace that’s inclusive, free from discrimination. Decisions at Salesforce are fair and based on merit, covering recruiting, hiring, promotion, compensation, and more.