Forward Deployed Engineer

Job Details

Work Experience

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.

Required 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, Azure, or Google Cloud Platform)

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

Preferred Qualifications

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