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Forward Deployment Engineer Jobs in Missouri (NOW HIRING)

Jobtailor

Forward Deployed Engineer

California, MO · On-site

Support application deployment, monitoring, and maintenance using modern software engineering and DevOps practices * Incorporate data quality, security, and compliance requirements into application ...

Tenex

Forward Deployed Data Engineer

Kansas City, MO · On-site

About the Role As a Forward Deployed Data Engineer -- SIEM/SOAR, you build the content that powers ... Collaborate with Deployment Engineers to ensure content is ready for new customer go-lives

Quovy

Forward Deployed Engineer

California, MO · On-site

Forward Deployed Engineers are the bridge between our product and the customer's reality. You embed ... deployment -- unblock customers, debug in production, and earn their trust. * 05 Translate ...

Jobgether

As a Forward Deployed Engineer, you'll operate at the intersection of software engineering ... You'll lead the deployment and integration of autonomous vulnerability management and security ...

Zendesk, Inc.

Forward Deployed Engineer

California, MO · On-site

$200K - $300K/yr

Position Overview Forward Deployed Engineer (FDE) - AI & SolutionsAs a Forward Deployed Engineer ... Lead complex end‑to‑end deployments of Zendesk's AI Agents and LLM‑powered workflows, owning ...

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All JobsForward Deployment Engineer JobsForward Deployment Engineer Jobs in Missouri

Forward Deployment Engineer information

See Missouri salary details

$33.3K

$102.8K

$159.5K

How much do forward deployment engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for forward deployment engineer in Missouri is $102,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a forward deployment engineer?

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.

What are the key skills and qualifications needed to thrive as a forward deployment engineer?

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.

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 do forward deployment engineers do?

Forward deployment engineers are responsible for deploying, maintaining, and troubleshooting hardware and software systems at client sites or in the field. They often work closely with customers to ensure systems operate effectively and may require skills in networking, scripting, and technical support. Their role involves on-site presence, rapid problem resolution, and ensuring operational readiness of deployed solutions.

What are popular job titles related to Forward Deployment Engineer jobs in Missouri?

For Forward Deployment Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Forward Deployment Engineer jobs in Missouri look for?

The top searched job categories for Forward Deployment Engineer jobs in Missouri are:

What cities in Missouri are hiring for Forward Deployment Engineer jobs?

Cities in Missouri with the most Forward Deployment Engineer job openings:

Forward Deployment Engineer jobs near you
Infographic showing various Forward Deployment Engineer job openings in Missouri as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,768 per year, or $49.4 per hour.

Forward Deployed Engineer

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 26 days ago

Job description

  • Design and develop robust data solutions for clients within PwC's Risk & Regulatory practice
  • Transform raw data into actionable insights to support informed decision-making and business growth
  • Take ownership of project tasks focused on designing, building, and supporting scalable AI-enabled technology solutions
  • Develop, test, and maintain AI-powered full-stack applications
  • Build application features across frontend, backend, APIs, databases, and cloud environments
  • Integrate AI services and automation capabilities into enterprise applications and business workflows
  • Translate business requirements into technical solutions and application functionality with team members
  • Support application deployment, monitoring, and maintenance using modern software engineering and DevOps practices
  • Incorporate data quality, security, and compliance requirements into application development
  • Build and maintain data pipelines, retrieval systems, and integrations for secure enterprise data access and processing
  • Apply natural language processing techniques to improve text analytics
  • Participate in client support activities addressing data and technology challenges
  • Work with stakeholders across internal audit, SOX compliance, and forensics risk domains
  • Adapt to varying clients, team members, challenges, and project scopes while delivering quality work
  • Develop client connections, manage and inspire others, and deepen technical knowledge of firm services and technology resources
Requirements
  • At least a Bachelor's degree
  • At least 1 year of experience designing, developing, and supporting software applications, AI-powered solutions, or related technology platforms
  • Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
  • Strong foundation in software engineering principles, application development, and system design
  • Experience building and supporting full-stack applications using frontend and backend technologies
  • Experience integrating AI capabilities into applications using platforms such as OpenAI, Azure AI, Copilot Studio, Gemini, Claude, AgentSpace, and similar technologies
  • Experience implementing AI solutions with a focus on natural language processing
  • Active listening and communication within team environments
  • Ability to travel up to 60%
  • Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within PwC's policy
Core Competencies

Demonstrates expertise in designing and developing AI-powered full-stack applications, integrating AI capabilities, and applying natural language processing techniques. Strong foundation in software engineering principles and experience in building scalable data solutions for enterprise environments.

Highest-signal resume keywords
  • AI-Powered Full-Stack Application Development
  • Natural Language Processing Implementation
  • Integration of AI Services and Automation
  • Software Engineering Principles
  • Data Pipeline Development
ATS Optimization KeywordsHard Skills
  • Full-Stack Application Development
  • Software Engineering
  • Data Solutions Design
  • AI Integration
  • Natural Language Processing
  • Data Pipeline Development
  • Application Deployment
  • DevOps Practices
  • System Design
  • Data Quality and Compliance
Soft Skills
  • Active Listening
  • Communication
  • Team Collaboration
  • Client Management
  • Inspiration and Leadership
Industry Keywords
  • Risk and Regulatory
  • SOX Compliance
  • Internal Audit
  • Forensics Risk
  • Data Science
  • Artificial Intelligence
  • Engineering
Tools & Technologies
  • OpenAI
  • Azure AI
  • Copilot Studio
  • Gemini
  • Claude
  • AgentSpace
  • Cloud Environments
  • APIs
  • Databases
  • Automation Tools
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