Expert Agent Builder, Forward Deployed Engineering

Salesforce Salesforce · Enterprise · Toronto, Canada, Canada

Salesforce is seeking an Expert Agent Builder for their Forward Deployed Engineering Team to architect, design, and build complex agentic systems for enterprise customers. This role involves hands-on development, integration of LLMs and agent-building frameworks, defining agentic architecture, leading engineering best practices, and driving innovation on the Agentforce platform. The role requires deep expertise in AI/LLM technologies, prompt engineering, RAG, evaluation frameworks, and enterprise data integration.

What you'd actually do

  1. Define Agentic Architecture: Design, architect, and hands-on develop the most difficult and bespoke agentic AI solutions that leverage the full power of the Agentforce platform and integrate with complex enterprise systems to solve critical customer challenges.
  2. Build and Deploy Agent Systems: Apply extensive hands-on experience to integrate Large Language Models (LLMs) and expertly utilize agent-building and orchestration frameworks (e.g., Agentforce, LangChain, LlamaIndex) to implement and deploy complex agent-based solutions.
  3. Lead Engineering Best Practices: Master our development process, culture, and code base, then define, improve, and enforce engineering best practices for code quality, scalability, and security across all deployed agentic solutions.
  4. Drive Platform Customization: Utilize significant direct experience with the Salesforce platform to perform advanced configuration, customization, and complex development necessary to support and integrate agentic solutions.
  5. Develop Data & Integration Solutions: Design strategic data models and build efficient processing pipelines to ensure data is ready, optimized, and secure for advanced AI applications.

Skills

Required

  • 8+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions.
  • Strong background in Computer Science or a related engineering discipline.
  • Expert-level proficiency in one or more programming languages (e.g., Java, Apex, JavaScript, Python).
  • Deep knowledge of object-oriented programming and databases.
  • Experience building applications with modern web component frameworks like React, Angular, or LWC.
  • Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including:
  • Integrating LLMs and applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex).
  • Developing custom agentic frameworks and systems.
  • Deep understanding of machine learning and natural language processing.
  • Expertise in prompt engineering, advanced RAG (Retrieval-Augmented Generation) strategies, and defining/automating rigorous evaluation and testing frameworks for LLM outputs and agentic workflows.
  • Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
  • Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks.
  • Excellent interpersonal skills with the ability to collaborate effectively with people from various backgrounds and levels of expertise.
  • Track record of innovation and problem solving to find creative technical solutions to new and unforeseen business problems.
  • Ability to travel 30% of the time, as needed to customer sites

Nice to have

  • Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.

What the JD emphasized

  • most complex and sophisticated agentic systems
  • technical frontier of intelligent automation
  • first of their kind best in class experiences
  • complex multi-agent solutions
  • unparalleled software development mastery
  • deep software architecture skills
  • relentless focus on implementing engineering best practices
  • deeply understanding our customers' most complex problems
  • architecting sophisticated solutions
  • leading the end-to-end technical delivery
  • most difficult and bespoke agentic AI solutions
  • complex enterprise systems
  • complex agent-based solutions
  • enforce engineering best practices
  • complex development necessary to support and integrate agentic solutions
  • advanced AI applications
  • most complex technical challenges
  • advanced agent orchestration and intricate data integration issues
  • foremost expert in our innovative Agentforce platform
  • leading the development of custom intelligent agents
  • deep field insights
  • latest AI advancements
  • 8+ years of experience
  • Expert-level proficiency
  • Deep knowledge
  • Extensive hands-on experience
  • Deep understanding
  • Expertise in prompt engineering
  • advanced RAG (Retrieval-Augmented Generation) strategies
  • defining/automating rigorous evaluation and testing frameworks for LLM outputs and agentic workflows
  • Deep expertise in data modeling, processing, integration, and analytics
  • demonstrable proficiency
  • Proven experience in automated testing
  • develop test strategies and design automation frameworks
  • Excellent interpersonal skills
  • Track record of innovation and problem solving
  • creative technical solutions
  • Ability to travel 30% of the time

Other signals

  • building agentic systems
  • integrating LLMs
  • customer-facing AI solutions