Forward Deployed Engineer

Salesforce Salesforce · Enterprise · Munich, Germany

Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments, design and develop bespoke solutions using their Agentforce platform and other technologies, and lead technical engagements. The role involves hands-on implementation, architecting and deploying AI/LLM-based intelligent agents and automated workflows, engineering custom agents, managing the data lifecycle, resolving technical blockers, driving innovation on the Agentforce platform, acting as a strategic partner to clients, debugging complex systems, rapid prototyping, and enforcing best practices. Requires 5+ years of experience, a strong CS/engineering background, and proficiency in programming languages and AI/LLM technologies like LangChain or LlamaIndex.

What you'd actually do

  1. Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.
  2. Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.
  3. Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.
  4. Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.
  5. Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.

Skills

Required

  • 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment
  • Strong background in Computer Science or a related engineering discipline
  • Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)
  • Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic framewor

Nice to have

  • guiding and reviewing the work of junior team members
  • deeply understanding our customers' most complex problems
  • architecting sophisticated solutions
  • leading technical engagements
  • mentoring junior peers
  • shaping technical strategy
  • ensuring successful outcomes
  • configuring systems
  • troubleshooting issues
  • measurable business impact
  • scalable production systems
  • Salesforce platform
  • seamless integration with existing customer ecosystems
  • strategic design of data models
  • hands-on building of efficient processing pipelines
  • establishing seamless integration strategies
  • navigating complex enterprise data environments
  • analyzing and directly resolving the most complex technical challenges
  • intricate data integration
  • sophisticated model deployment
  • advanced agent orchestration
  • ultimate go-to expert for unblocking progress
  • foremost expert in our innovative Agentforce platform
  • pushing its capabilities to the limit
  • automate intricate business processes
  • craft intuitive user experiences
  • insights from the field will directly influence future product enhancements
  • shape the strategic direction of our platform
  • representing the voice of the customer in product discussions
  • Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals
  • translate these nuanced needs into clear, actionable technical requirements and solution designs
  • building strong relationships as their primary technical advisor
  • leading technical discussions
  • detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors
  • optimize performance, ensure reliability, and prevent recurrence of issues
  • Quickly develop proofs-of-concept and minimum viable products
  • coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement
  • setting the pace for rapid delivery
  • Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions
  • serving as a technical role model

What the JD emphasized

  • lead the charge on complex AI agentic deployments
  • architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows
  • architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents
  • integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic framewor

Other signals

  • Deploying AI agents and automated workflows
  • Architecting and deploying complex AI and LLM-based intelligent agents
  • Building and deploying solutions with AI/LLM technologies
  • Integrating LLMs, applying advanced AI orchestration frameworks
  • Prompt engineering techniques
  • Experience with agentic frameworks