Forward Deployed Engineer (FDE) - Remote
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
- 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectiv
- Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environment
- 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
- Demonstrated ability to work effectively in client-facing delivery environments
- Demonstrated solid collaboration skills and ability to operate within structured project teams
- Demonstrated clear communication skills for working with both technical and non-technical stakeholders
- Demonstrated ability to execute against defined requirements and evolving priorities
Nice to have
- 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)
- Demonstrated solid execution focus with attention to detail and code quality
- Demonstrated 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
Full description
Come to the Optum Forward Deployed Engineer Virtual Career Event on 9/16 or 9/17!
This event will be set up with virtual and on-demand content, so that each participant can spend time where and how it best fits their needs and interests. Visit booths to learn more about Forward Deployed Engineer (FDE) roles at Optum. Connect with Optum Tech Talent Acquisition team members and leaders.
RSVP and find more information here:
Wednesday, September 16 from 11am-1pm CT | Register here
Thursday, September 17 from 5-7pm CT | Register here
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
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.
FDEs contribute directly to solution delivery-translating defined requirements into working systems, building integrations, and supporting deployments. While primarily focused on engineering execution, the role also operates in client settings, requiring strong collaboration and the ability to support technical discussions with both engineering and business stakeholders.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Solution Implementation & Delivery
- 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
- Contribute to end-to-end delivery by supporting development, testing, and deployment activities
- Hands-on Engineering
- Develop solution components using modern programming languages (e.g., Python, Java, SQL) and engineering frameworks
- Work with distributed systems and cloud platforms to support scalable, reliable deployments