Expert Agent Builder, Forward Deployed Engineering

Salesforce•San Francisco, CA

7d•$157,640 - $316,750•Hybrid

About The Position

We are seeking a highly accomplished technologist to join our Forward Deployed Engineering Team as an Expert Agent Builder. This role represents the pinnacle of AI technical expertise, focusing on architecting, designing, and building the most complex and sophisticated agentic systems to solve our customers' most difficult challenges. You will be the technical conscience and thought leader, translating ambiguous customer needs into concrete, executable AI solutions. You will drive transformative AI solutions by tackling the technical frontier of intelligent automation. You will build first of their kind best in class experiences for the world’s biggest brands - including headless agent automations, dynamic AI driven custom user interfaces, and complex multi-agent solutions. This demands unparalleled software development mastery, deep software architecture skills, and a relentless focus on implementing engineering best practices to deliver maximum tangible value in dynamic, real-world enterprise environments. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond.

Requirements

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 Haves

Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.
Experience contributing to open-source AI frameworks or libraries.
Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect).
Expert-level experience with Apex, Javascript, and/or Python coding languages in a professional setting.
Experience with voice systems preferably in an agentic setting, but including text-to-speech and speech-to-text APIs.
Appreciation for high quality user experiences that go beyond accomplishing the bare minimum.

Responsibilities

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.
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.
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.
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.
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.
Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, serving as the ultimate go-to expert for advanced agent orchestration and intricate data integration issues.
Drive Agentforce Innovation: Become the foremost expert in our innovative Agentforce platform, leading the development of custom intelligent agents and influencing future product enhancements based on deep field insights.
Undertake Continuous Learning: Maintain expertise in the latest AI advancements, both within the company and the wider industry, and proactively seek opportunities to integrate this knowledge for product and process innovation.