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 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
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
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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 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
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
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