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Forward Deployment Engineer Jobs (NOW HIRING)

Jinba

Forward Deployed Engineer

San Francisco, CA · On-site

$120K - $160K/yr

Debug and resolve production issues in customer deployments * Develop best practices, documentation ... Forward Deployment Engineer or similar customer-facing technical roles at Palantir, Accenture, or ...

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Forward Deployment Engineer information

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$35.5K

$109.6K

$170K

How much do forward deployment engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for forward deployment engineer in the United States is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.

How does a Forward Deployment Engineer typically collaborate with clients and internal teams during a project?

Forward Deployment Engineers often serve as a bridge between clients and internal engineering or product teams. They work closely with clients to understand their unique requirements, configure solutions, and ensure successful deployments, frequently traveling to client sites. Internally, they collaborate with engineers, product managers, and support staff to relay client feedback, troubleshoot issues, and optimize system performance. This role requires excellent communication skills and adaptability, as each project may involve different stakeholders and technical challenges.

What is the difference between Forward Deployment Engineer vs Network Engineer?

AspectForward Deployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS, EE, or related; certifications like CCNA, Cisco, or cloud certificationsBachelor's in CS, EE, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentOn-site deployments, fieldwork, client sites, and data centersOffice-based, network infrastructure setup, maintenance, and troubleshooting
Industry UsageTech, telecom, cloud providers, hardware vendorsIT, telecom, enterprise networks, service providers

While both roles require networking knowledge and certifications like CCNA, Forward Deployment Engineers focus on deploying and supporting hardware and systems directly at client sites, often involving fieldwork. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. The roles overlap in certifications and industry usage but differ in work environment and deployment focus.

What are the key skills and qualifications needed to thrive as a Forward Deployment Engineer, and why are they important?

To thrive as a Forward Deployment Engineer, you need strong analytical and problem-solving skills, a solid foundation in computer science or engineering, and relevant experience or a degree in these fields. Familiarity with programming languages (such as Python or Java), cloud platforms, and deployment/configuration management tools is typically required, along with knowledge of client-facing software solutions. Outstanding communication, adaptability, and teamwork skills help you understand client needs and collaborate effectively across teams. These skills ensure successful implementation and integration of complex software solutions in diverse client environments.

What are Forward Deployment Engineers?

Forward Deployment Engineers (FDEs) are technical professionals who work directly with clients to implement, customize, and deploy software solutions. They act as a bridge between engineering teams and customers, ensuring that products are successfully integrated into the client's environment and tailored to meet their specific needs. FDEs typically handle a mix of software engineering, problem-solving, and client-facing responsibilities, often traveling to customer sites to provide on-the-ground support. Their role is essential for organizations that offer complex technical products requiring hands-on deployment and adaptation.
More about Forward Deployment Engineer jobs
What cities are hiring for Forward Deployment Engineer jobs? Cities with the most Forward Deployment Engineer job openings:
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Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,561 per year, or $52.7 per hour.
Forward Deployment Engineer (Sioux Falls, SD)

Forward Deployment Engineer (Sioux Falls, SD)

Hippocratic AI

Sioux Falls, SD • On-site

Full-time

Posted 23 days ago

Job description

About Us
Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Why Join Our Team
Reinvent healthcare with AI that puts safety first. We're building the world's first healthcare‑only, safety‑focused LLM - a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world's leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children's, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who've spent their careers improving care, advancing science, and building world‑changing technologies - ensuring our platform is powerful, trusted, and truly transformative.
About the Role
We are seeking an Forward Deployment Engineer to operate at the intersection of AI systems, healthcare data, and real-world deployment. In this role, you will be deployed onsite at a customer location, serving as Hippocratic AI's embedded technical presence.
This is not a traditional engineering role. You will act as a builder, operator, and technical
consultant, working directly with customers on-site to design and deploy AI systems into live
clinical workflows.
You will take ambiguous, high-impact problems and turn them into production-grade AI
solutions powered by LLMs, voice systems, and interoperable data platforms.
What You'll Do:
Customer-Facing Problem Solving:
  • Serve as the technical point of contact for healthcare customers
  • Translate ambiguous problems into scalable solutions

AI System Design & Deployment:
  • Build and deploy AI systems, including RAG pipelines and multi-agent workflows
  • Develop real-time conversational AI systems

Healthcare Data Integration:
  • Work with HL7 v2, FHIR, REST APIs, and X12
  • Build pipelines using Python and SQL

End-to-End Ownership:
  • Own full lifecycle from design to monitoring
  • Troubleshoot production issues

Cross-Functional Collaboration:
  • Work with product, AI research, and clinical teams

Location:
  • This is an onsite role based in Sioux Falls, SD, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions.

What You Bring
Must Have:
  • BS in a technical field such as CS, Data Science, Mechanical Engineering, or BS in a non-technical field with formal education in computer science.
  • 3+ years in software engineering, AI/ML, or data integration
  • Strong Python skills
  • Experience with AI/ML systems in production
  • Willingness to be deployed onsite at customer locations for extended periods

Nice-to-Have:
  • HL7, FHIR, REST APIs experience
  • Epic/Cerner experience
  • LLMs, RAG, prompt engineering
  • Voice AI exposure
  • Cloud + DevOps knowledge

What Makes This Role Unique:
  • Deploy AI into real healthcare environments
  • Own problems end-to-end
  • Work directly with customers onsite as an embedded engineer
  • Impact real patient outcomes

Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

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