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Salesforce

Builds cloud software for customer relationships

Distinguished Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • 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, such as JavaScript, Java, Python, or Apex.
  • Extensive hands-on experience building and deploying solutions with AI and large language model technologies, including integrating large language models, applying AI orchestration frameworks such as LangChain or LlamaIndex, prompt engineering, and agentic frameworks.
  • Deep expertise in data modeling, processing, integration, and analytics, with proficiency in enterprise data platforms such as Salesforce Data Cloud, Snowflake, Databricks, or BigQuery.
  • Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development.
  • Demonstrated entrepreneurship, a get-things-done attitude, a focus on fast, impactful delivery, and the ability to lead technical initiatives.
  • Strong collaboration, communication, and presentation skills, written and verbal, including the ability to explain complex technical concepts to technical and non-technical stakeholders.
  • Ability to lead technical engagements, mentor junior team members, and oversee the technical aspects of projects.
  • Ability to travel up to 25% of the time to customer sites, as needed.

Responsibilities

  • Deliver complex AI solutions end to end, personally writing critical code, configuring systems, and troubleshooting issues while guiding and reviewing junior team members' work to achieve successful deployments and measurable business impact.
  • Design, develop, and personally implement high-quality, scalable production systems, including architecting and deploying complex AI and large language model-based intelligent agents and automated workflows on the Salesforce platform.
  • Work directly with customers to design and build custom intelligent agents using Agentforce, ensuring they meet business requirements and integrate with existing customer ecosystems.
  • Own the data lifecycle, from strategic data-model design through building processing pipelines and establishing integration strategies, keeping data ready, optimized, and secure for AI applications in complex enterprise data environments.
  • Identify, analyze, and resolve complex technical challenges throughout solution delivery, including data integration, model deployment, and agent orchestration.
  • Develop bespoke intelligent agents, automate business processes, craft user experiences, and provide field insights that influence product enhancements and platform strategy; represent the customer's perspective in product discussions.
  • Embed with client teams to understand operational challenges and strategic goals, translate needs into technical requirements and solution designs, build relationships as the primary technical advisor, and lead technical discussions.
  • Debug complex system interactions, data flows, and AI model behavior; perform root cause analysis to improve performance and reliability and prevent recurring issues.
  • Develop proofs of concept and minimum viable products, often coding alongside client teams, and iterate based on feedback.
  • Apply and promote engineering best practices for code quality, scalability, security, and maintainability across deployed solutions.

Desired Qualifications

  • Extensive experience with Salesforce Data Cloud and/or the Agentforce platform.
  • Experience developing and deploying conversational AI solutions in highly regulated industries.
  • Expert-level professional coding experience with Apex and/or Python.
  • Prior experience in a customer-facing, hands-on technical lead or architect role.
  • Advanced Salesforce platform certifications, such as Platform Developer II, Application Architect, or System Architect.
  • Deep knowledge of Salesforce CRM, including Service, Sales, and Marketing Clouds.
  • Extensive experience with Salesforce Flows and Lightning Web Components, including complex custom development.
  • Experience contributing to open-source AI frameworks or libraries.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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