Forward Deployed Engineer (FDE) - Remote

UnitedHealth Group

1d•$120,100 - $214,500•Remote

About The Position

The Forward Deployed Engineer (FDE) is a hands-on engineering role focused on building and deploying AI-powered solutions within client environments. As part of client-facing delivery teams, the FDE partners with senior engineers and consulting leads to implement scalable, production-ready systems for healthcare payers and providers. The role translates defined requirements into working systems, builds integrations, and supports deployments, while collaborating with engineering and business stakeholders in client settings. The FDE develops solution components using modern programming languages and engineering frameworks; works with distributed systems and cloud platforms; and supports data preparation, prompt configuration, model integration, testing, deployment, and troubleshooting. The role also contributes to client working sessions, execution of project plans and deliverables, documentation, knowledge transfer, and reusable implementation patterns. Prototypes should have a clear path to production and be scalable, supportable, and transferable to production engineering teams. The position is remote from anywhere in the U.S. However, hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy. The position offers an annual salary range of $120,100–$214,500 based on full-time employment, with compensation depending on factors including location, education, experience, and certifications.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
At least 3 years of proficient experience in at least one programming language, such as Python, Java, or SQL.
At least 2 years of experience in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives.
Demonstrated experience 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 such as AWS, Azure, or GCP.
Exposure to AI/ML concepts, including LLMs and prompt engineering.
Advanced user capability with CodeX, Claude, or 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 technical and non-technical stakeholders.
Ability to execute against defined requirements and evolving priorities.

Nice To Haves

Master’s degree in a technical discipline such as AI/ML, Data Science, or Software Engineering.
Healthcare domain expertise, including understanding healthcare payer and/or provider operations such as claims, utilization management, care delivery, or revenue cycle.
Familiarity with healthcare data considerations such as privacy and compliance.
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.

Responsibilities

Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments.
Implement integrations between AI models, APIs, and enterprise healthcare systems.
Translate defined solution designs into high-quality, production-ready code.
Support development, testing, and deployment activities as part of end-to-end delivery.
Develop solution components using modern programming languages and engineering frameworks.
Work with distributed systems and cloud platforms to support scalable, reliable deployments.
Assist with data preparation, prompt configuration, and model integration for AI-driven solutions.
Troubleshoot and resolve technical issues during development and deployment.
Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations.
Support technical discussions and working sessions with client stakeholders.
Help execute defined project plans, timelines, and deliverables.
Contribute to iterative development cycles, incorporating client and team feedback.
Partner with engineering, platform, product, and other cross-functional teams to deliver integrated solutions.
Translate technical requirements into actionable development tasks.
Communicate progress, risks, and technical considerations clearly within the team.
Support alignment between technical implementation and client expectations.
Document solution components, integration points, and deployment processes.
Support knowledge transfer to client technical teams to enable adoption and sustainability.
Contribute reusable implementation patterns, assets, and playbooks.
Deliver high-quality solution components that meet performance, reliability, and security expectations.
Design and develop prototypes with a clear path to scalable, supportable production solutions that can be transitioned effectively to production engineering teams.