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Forward Deployment Engineer Jobs (NOW HIRING)

Snyk

Staff Forward Deployment Engineer

Boston, MA · On-site

... Forward Thinking. It's how we stay driven, supportive, and always one step ahead as AI reshapes our ... each developer has installed. You write the deployment config, debug a TLS issue with their ...

New

Cornerstone

... Forward Deployed Engineer to serve as the critical bridge between Cornerstone's product engineering teams and our most strategic enterprise customers. As a FDE, you will drive successful deployments ...

Cornerstone OnDemand

... Forward Deployed Engineer to serve as the critical bridge between Cornerstone's product engineering teams and our most strategic enterprise customers. As a FDE, you will drive successful deployments ...

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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 Jun 6, 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:
What states have the most Forward Deployment Engineer jobs? States with the most job openings for Forward Deployment Engineer jobs include:
What job categories do people searching Forward Deployment Engineer jobs look for? The top searched job categories for Forward Deployment Engineer jobs are:
Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $109,561 per year, or $52.7 per hour.
AI Forward deployment Engineer

AI Forward deployment Engineer

Nam Info Inc

Minnetonka, MN • On-site

Other

Posted 4 days ago

Job description

Job Title: AI Forward Deployment Engineer

Location - Minnetonka, MN (Onsite)

Position Summary

We are seeking a highly skilled Forward Deployment Engineer with strong hands-on software development experience to design, build, deploy, and customize AI-driven solutions for enterprise customers. The ideal candidate will combine expertise in AI/ML technologies, full-stack development, and customer-facing solution delivery to rapidly develop and deploy scalable applications in production environments.

This role requires a strong engineer who can work directly with stakeholders, understand complex business requirements, and translate them into innovative, production-ready solutions. The candidate should be comfortable working across the full technology stack, with deep experience in React, Python, MongoDB/Oracle, and modern AI/ML frameworks.

Key Responsibilities

  • Design, develop, and deploy end-to-end AI-powered applications and solutions for enterprise customers.
  • Collaborate directly with business stakeholders, product teams, and customers to gather requirements and translate them into technical solutions.
  • Build responsive and scalable front-end applications using React.js and modern JavaScript/TypeScript frameworks.
  • Develop backend services, APIs, and microservices using Python.
  • Integrate AI/ML models into production applications and optimize model performance.
  • Design and implement data pipelines and database solutions using MongoDB and/or Oracle.
  • Develop reusable frameworks, accelerators, and components to improve deployment efficiency.
  • Troubleshoot, debug, and resolve complex technical issues across application, database, and infrastructure layers.
  • Participate in architecture discussions and contribute to solution design, scalability, security, and performance improvements.
  • Work closely with DevOps and cloud teams to support application deployment and monitoring.
  • Provide technical leadership and best practices for software engineering, code quality, and system reliability.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 8+ years of hands-on software development experience.
  • Strong experience developing enterprise-grade solutions from design through production deployment.
  • Proficiency in Python for backend development and API creation.
  • Strong front-end development experience using React.js, JavaScript, TypeScript, HTML5, and CSS3.
  • Experience integrating and deploying AI/ML solutions in real-world business applications.
  • Hands-on experience with MongoDB and/or Oracle Database.
  • Experience developing RESTful APIs, microservices, and distributed applications.
  • Strong understanding of software engineering principles, design patterns, and system architecture.
  • Experience with Git, CI/CD pipelines, and Agile development methodologies.
  • Experience with Generative AI technologies including LLMs, RAG architectures, AI agents, and prompt engineering.
  • Familiarity with frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, or PyTorch.
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About NAM Info

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Edison, NJ, US

Year founded

2000

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