[Hiring] Forward Deployed Engineer @Resource Logistics

Role Description

The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. Working as part of client-facing delivery teams, this role partners with senior engineers and consulting leads to implement scalable, production-ready systems for healthcare payers and providers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 5+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (e.g., AWS, Clienture, or GCP)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Ability to work effectively in client-facing delivery environments
• Solid collaboration skills and ability to operate within structured project teams
• Clear communication skills for working with both technical and non-technical stakeholders
• Ability to execute against defined requirements and evolving priorities

Requirements

• Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
• Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
• Familiarity with healthcare data considerations (e.g., privacy, compliance) is a plus
• Solid execution focus with attention to detail and code quality
• Ability to work in fast-paced environments with multiple priorities
• Willingness to take ownership of assigned components and deliver reliably
• Continuous learning mindset, particularly in AI and emerging technologies

Company Description