S

Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

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

About the Job

Requirements

  • At least 5 years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment.
  • A 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 advanced AI orchestration frameworks such as LangChain or LlamaIndex, prompt engineering techniques, and agentic frameworks.
  • Deep expertise in data modeling, processing, integration, and analytics, with demonstrable 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 an ability to lead technical initiatives.
  • Strong collaboration, communication, and presentation skills, both written and verbal, and the ability to explain complex technical concepts to 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 to customer sites as needed.

Responsibilities

  • Drive end-to-end technical delivery of complex AI solutions by writing critical code, configuring systems, troubleshooting issues, guiding and reviewing junior team members' work, and ensuring successful deployment and measurable business impact.
  • Design, develop, and personally implement high-quality, scalable production systems, including 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, meeting unique business requirements and integrating with existing customer ecosystems.
  • Own the data lifecycle, from designing data models to building processing pipelines and integration strategies, ensuring data is 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, and craft user experiences using Agentforce; share field insights to inform product enhancements and represent customer perspectives in product discussions.
  • Work closely with client teams to understand operational challenges and strategic goals, translate needs into technical requirements and solution designs, build trusted relationships, and lead technical discussions.
  • Debug complex system interactions, data flows, and AI model behavior; perform root cause analysis to optimize performance, ensure reliability, and prevent recurring issues.
  • Rapidly build proofs of concept and minimum viable products, often coding with client teams, and incorporate feedback through iterative refinement.
  • 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 experience coding 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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