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Salesforce

AI Forward Deployed Engineer – Senior/Lead/Principal

Salesforce

AI Forward Deployed Engineer responsible for designing and implementing AI solutions at Salesforce. Leading technical engagements and mentoring junior peers in innovative AI deployments and integrations.

Posted 6/16/2026full-timeRemote • California, Illinois, Maryland, Washington • 🇺🇸 United StatesSenior💰 $117,200 - $313,700 per yearWebsite

Tech Stack

Tools & technologies
BigQueryCloudJavaJavaScriptPython

About the role

Key responsibilities & impact
  • 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
  • Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems
  • 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
  • Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies
  • Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery
  • Lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences
  • Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals
  • Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues
  • Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement
  • Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions

Requirements

What you’ll need
  • 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 modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)
  • Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives
  • Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
  • Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects
  • Ability to travel 25-50% of the time, as needed to customer sites

Benefits

Comp & perks
  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
JavaScriptJavaPythonApexAI technologiesLLM technologiesLangChainLlamaIndexdata modelingdata processing
Soft Skills
collaborationcommunicationpresentationleadershipmentoringentrepreneurshipproblem-solvinganalytical thinkingadaptabilitycustomer engagement