Forward Deployed Engineer

Role Overview

• Drive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of AI solutions, personally writing code, configuring systems, and troubleshooting issues to ensure successful deployment and measurable business impact.
• Remove Technical Blockers: Proactively identify and directly resolve complex technical challenges during all phases of solution delivery, from data integration to model deployment and agent orchestration. You'll be the go-to expert for unblocking progress.
• Build Transformative AI Solutions: Design, develop, and personally implement high-quality, scalable production systems. A significant part of this will involve leveraging AI and Large Language Models (LLMs) to create intelligent agents and automate workflows, all built on top of the Salesforce platform.
• Data Configuration & Integration: Take direct ownership of data from end-to-end. You'll design robust data models, hands-on build efficient processing pipelines, and establish seamless integration strategies to ingest, transform, and analyze complex datasets. Your work will ensure data is always ready and optimized for our AI applications.
• Drive Agentforce Innovation: Become an expert in our innovative Agentforce platform. You'll directly push its capabilities to the limit, developing bespoke intelligent agents, automating intricate business processes, and crafting intuitive user experiences that deliver tangible value.
• Become a Trusted Partner: Embed yourself with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements, building strong relationships as their primary technical advisor.
• Conduct Deep-Dive Technical Debugging: Perform detailed analysis and debugging of complex system interactions, data flows, and AI model behaviors to optimize performance and ensure reliability.
• Prototype and Iterate Rapidly: Quickly develop proofs-of-concept and minimum viable products, coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement.
• Implement Best Practices: Directly apply engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions.

Requirements

• Strong background in Computer Science or a related engineering discipline.
• Proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex).
• Proven track record of hands-on, end-to-end delivery of high-quality, scalable production solutions in a professional environment.
• Hands-on experience building solutions with AI/LLM technologies, including integrating LLMs, applying AI orchestration frameworks, and prompt engineering techniques.
• Strong experience in data modeling, processing, integration, and analytics, with demonstrable proficiency in data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks).
• Direct experience with the Salesforce platform, including configuration, customization, and development.
• Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast delivery.
• Excellent collaboration and communication skills, both written and verbal.
• Ability to travel 25-50% of the time, as needed to customer sites.

Tech Stack

• Cloud
• Java
• JavaScript
• Python

Benefits

• Professional development opportunities
• Flexible working hours