Salesforce

AI Forward Deployed Engineer, Senior/Lead/Principal

Salesforce

full-time

Posted on:

Location Type: Remote

Location: Remote • California, Illinois, Maryland, Massachusetts, New York, Texas, Washington • 🇺🇸 United States

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Salary

💰 $125,700 - $334,600 per year

Job Level

Senior

Tech Stack

BigQueryCloudJavaJavaScriptPython

About the role

  • Responsible for end-to-end technical delivery of complex AI solutions, writing critical code, configuring systems, and troubleshooting issues
  • Guide and review the work of junior team members to ensure successful deployment and measurable business impact
  • Design, develop, and implement high-quality, scalable production systems and architect/deploy LLM-based intelligent agents and automated workflows on Salesforce
  • Work directly with customers to design and build custom intelligent agents using the Agentforce platform and integrate with customer ecosystems
  • Own entire data lifecycle: design data models, build processing pipelines, and establish integration strategies
  • Identify, analyze, and resolve complex technical challenges across data integration, model deployment, and agent orchestration
  • Lead development and innovation on the Agentforce platform; represent voice of the customer in product discussions
  • Embed with client teams as primary technical advisor and translate needs into technical requirements and solution designs
  • Perform deep-dive debugging and root cause analysis for system interactions, data flows, and AI model behaviors
  • Rapidly prototype proofs-of-concept and MVPs; implement and evangelize engineering best practices for code quality, scalability, security, and maintainability

Requirements

  • 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), and prompt engineering techniques
  • Deep expertise in data modeling, processing, integration, and analytics, with proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)
  • Demonstrated entrepreneurship and a "get-things-done" attitude with ability to lead technical initiatives
  • Exceptional collaboration, communication, and presentation skills
  • Proven ability to lead technical engagements and mentor junior team members
  • Ability to travel 25-50% of the time
  • Preferred: experience developing conversational AI in regulated industries, expert-level Apex and/or Python, prior customer-facing technical lead or architect role, advanced Salesforce certifications (Platform Developer II, Application Architect, System Architect), deep knowledge of Salesforce CRM, Salesforce Flows and Lightning Web Components, open-source AI contributions
Benefits
  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
  • potential incentive compensation and equity

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
JavaScriptJavaPythonApexAI technologiesLLM technologiesdata modelingdata processingdata integrationanalytics
Soft skills
collaborationcommunicationpresentationleadershipmentoringentrepreneurshipproblem-solvingtechnical advisorycustomer engagementinnovation
Certifications
Platform Developer IIApplication ArchitectSystem Architect
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