Forward Deployed Engineering Lead

Salesforce Salesforce · Enterprise · Chicago Metro -, Indiana -, California - Palo Alto, Washington - Seattle Metro -, Washington D.C. -, Washington - Bellevue, California -, California - San Francisco Metro -, New Jersey - New York City Metro -, Indiana - Indianapolis, Texas - Austin Metro -, New York - New York City Metro -, Texas -, Massachusetts - Boston, Illinois - Chicago, New Jersey -, Massachusetts - Boston Metro -, California - Irvine, California - San Francisco, Washington - Seattle, Texas - Dallas Metro -, Texas - Dallas, Texas - Houston Metro -, Washington -, Texas - Austin, IL · Remote

Salesforce is seeking a senior-level Agentforce Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. This role involves designing, developing, and implementing bespoke AI solutions leveraging the Agentforce platform and LLM technologies, acting as a hands-on technical leader and strategic partner for clients. Responsibilities include end-to-end technical delivery, building AI agents and automated workflows, data configuration, removing technical blockers, driving platform innovation, and conducting deep-dive debugging.

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 frameworks.
  • Deep expertise in data model

What the JD emphasized

  • 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment.
  • 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 frameworks.

Other signals

  • AI agentic deployments
  • Agentforce platform
  • LLM based intelligent agents
  • automated workflows
  • complex enterprise data environments
  • agent orchestration