Forward Deployed Engineer
Salesforce11 hours ago
Singapore, SingaporeSenior
Responsibilities
- Own end-to-end technical delivery of complex AI and Agentforce solutions, including coding, configuration, deployment, troubleshooting, and optimization.
- Design and implement scalable intelligent agents, LLM-based workflows, and bespoke customer solutions on the Salesforce platform.
- Build data models, processing pipelines, integrations, and enterprise data strategies for AI applications.
- Partner directly with customers to translate business needs into technical requirements, architectures, and production solutions.
- Debug complex system interactions, data flows, model behavior, and agent orchestration issues while performing root-cause analysis.
- Develop rapid proofs of concept and minimum viable products alongside client teams and iterate based on feedback.
- Lead technical engagements, mentor junior team members, review engineering work, and guide technical strategy.
- Apply and promote engineering practices for code quality, scalability, security, reliability, and maintainability.
- Represent customer feedback in product discussions and help shape future Agentforce enhancements.
Requirements
- 5+ years of hands-on experience delivering high-quality, scalable production solutions in a professional environment.
- Strong background in Computer Science or a related engineering discipline.
- Expert proficiency in one or more programming languages, such as JavaScript, Java, Python, or Apex.
- Extensive experience building and deploying AI/LLM solutions, including LLM integration, prompt engineering, AI orchestration frameworks, and agentic frameworks.
- Deep expertise in data modeling, processing, integration, and analytics, including enterprise platforms such as Salesforce Data Cloud, Snowflake, Databricks, or BigQuery.
- Significant experience with Salesforce, including advanced configuration, customization, and complex development.
- Ability to lead technical initiatives, customer engagements, and project-level technical delivery while mentoring junior team members.
- Exceptional written, verbal, collaboration, communication, and presentation skills for technical and non-technical audiences.
- Ability to travel 25–50% of the time to customer sites.
- Preferred experience includes Salesforce Data Cloud, Agentforce, conversational AI in regulated industries, Apex or Python, customer-facing technical leadership, and Salesforce platform certifications.
- Preferred qualifications include knowledge of Salesforce CRM clouds, Salesforce Flows, Lightning Web Components, and contributions to open-source AI frameworks or libraries.
Benefits
- Salesforce offers benefits and resources intended to support balance and employee wellbeing.
- The role requires travel to customer sites 25–50% of the time.
- Salesforce provides reasonable accommodation during the application and recruiting process.
Tech Stack
Categories
Forward Deployed
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.