Distinguished Forward Deployed Engineer

Enboarder; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Enboarder is seeking a senior Forward Deployed Engineer to lead end-to-end AI deployments for strategic clients. You will architect bespoke agentic solutions, work with the Agentforce platform, and partner with customers to deliver high-impact outcomes from concept to production and ongoing optimization.

You will mentor junior peers, shape technical strategy, and own data modeling and integration across complex enterprise environments, including Salesforce-based ecosystems.

Qualifications

• Hands-on, end-to-end delivery experience for production AI/LLM solutions.
• Strong background in Computer Science or related engineering discipline.
• Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex).
• Extensive experience with AI/LLM technologies, orchestration frameworks, and agentic solutions.

Responsibilities

• Drive end-to-end technical delivery of complex AI deployments for strategic clients.
• Architect and implement bespoke agentic AI solutions on the Agentforce platform.
• Mentor junior team members and lead technical engagements with customers.
• Own data modeling, processing, integration, and data lifecycle for AI applications.
• Identify and resolve blockers across data integration, model deployment, and orchestration.
• shapes technical strategy, drives rapid prototyping, and enforces engineering best practices.

Education

Computer Science or related engineering degree

Tools

Salesforce

LangChain

LlamaIndex

Apex

Python

Snowflake

Databricks

BigQuery

Job description

We're looking for a highly accomplished and senior-level Forward Deployed Engineer to lead the charge on complex AI agentic deployments. This role demands a seasoned technologist and strategic partner who can not only design and develop bespoke solutions leveraging our Agentforce platform and other cutting-edge technologies but also lead technical engagements and mentor junior peers. You'll be the primary driver of transformative AI solutions, operating with deep technical mastery, unparalleled problem-solving prowess, and a relentless focus on delivering tangible value in dynamic, real-world environments, from initial concept to successful deployment and ongoing optimization.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands‑on leader, shaping technical strategy and ensuring successful outcomes.

Your Impact

• Drive Tangible Outcomes through Hands-On Implementation: 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.




• Build Transformative AI Solutions: Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.




• Engineer Bespoke Agentic AI Solutions: 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.




• Data Configuration & Integration : Own the entire data lifecycle, from strategic design of data models to hands‑on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.




• Proactively Remove Technical Blockers: Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.




• Drive Agentforce Innovation: Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.




• Become a Trusted Strategic Partner: Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.




• Conduct Deep-Dive Technical Debugging and Root Cause Analysis: 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.




• Lead Rapid Prototyping and Iteration: Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.




• Implement and Enforce Best Practices: Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.

Required Qualifications

• 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)




• Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development




• 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 upto 25% of the time, as needed to customer sites

Preferred Qualifications

• Extensive experience with Salesforce Data Cloud and/or Agentforce platform




• Experience developing and deploying conversational AI solutions within highly regulated industries




• Expert-level experience with Apex and/or Python coding languages in a professional setting




• Prior experience in a customer-facing, hands‑on technical lead or architect role




• Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect)




• Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds)




• Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development




• Experience contributing to open-source AI frameworks or libraries