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Forward Deployment Engineer Jobs in Miami, FL (NOW HIRING)

Collaborate with engineering and architecture teams to deploy scalable solutions. * Drive end-to-end implementation from ideation through production deployment. * Monitor adoption, business value ...

Forward Deployed Engineer

Miami, FL · On-site

$80 - $130/hr

About the role We're seeking a hands‑on Forward Deployed Engineer to build customer‑facing ... Travel frequently for on‑site customer engagements and deployments. * Contribute to product ...

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Forward Deployment Engineer information

See Miami, FL salary details

$34K

$104.8K

$162.6K

How much do forward deployment engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for forward deployment engineer in Miami, FL is $104,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $132,500.00 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 cities near Miami, FL are hiring for Forward Deployment Engineer jobs?

Cities near Miami, FL with the most Forward Deployment Engineer job openings:

Infographic showing various Forward Deployment Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $104,789 per year, or $50.4 per hour.

$130K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Must Have Technical/Functional Skills
• 5+ years of experience in software engineering, data engineering, AI/ML, or solution consulting roles.
• Experience working directly with business stakeholders and translating requirements into technical solutions.
• Demonstrated experience delivering AI-enabled business transformation initiatives.
Technical Skills
• Python
• SQL
• APIs and Microservices
• Cloud Platforms (Azure preferred, AWS or GCP acceptable)
• Machine Learning and Data Science fundamentals
• Generative AI and Large Language Models
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
• Git, CI/CD, DevOps practices
Data & Analytics
• Data Engineering
• Data Modeling
• Power BI/Tableau
• Data Visualization
• ETL/ELT processes
Preferred Qualifications
Commercial Real Estate Domain Knowledge
Experience in one or more of the following:
• Commercial Real Estate (CRE)
• Mortgage Loan Servicing
• CMBS
• Asset Management
• Special Servicing
• Real Estate Investment Management
• Distressed Assets Management
• Portfolio Risk Management
Consulting & Client-Facing Skills
• Strong executive communication skills.
• Ability to present AI concepts to both technical and non-technical audiences.
• Experience working in consulting or customer-facing environments.
• Ability to manage ambiguity and solve complex business problems.
Roles & Responsibilities
Key Responsibilities
Business & Domain Engagement
• Partner closely with Rialto business leaders and operational teams to understand workflows, pain points, and strategic objectives.
• Translate complex business requirements into scalable AI, automation, and analytics solutions.
• Act as a trusted advisor for AI adoption across Commercial Real Estate and Loan Servicing operations.
• Conduct discovery workshops and identify high-value use cases for AI and GenAI implementation.
AI Solution Development & Deployment
• Design, build, and deploy AI-powered applications leveraging GenAI, LLMs, Agentic AI, and machine learning technologies.
• Develop proof-of-concepts (POCs) and rapidly iterate into production-grade solutions.
• Build AI assistants and copilots to support:
o Asset Management
o Loan Servicing
o Special Servicing
o Investor Reporting
o Document Processing
o Portfolio Risk Monitoring
• Integrate AI solutions with enterprise platforms and existing business applications.
Data Engineering & Analytics
• Work with structured and unstructured data from:
o Mortgage Loans
o CMBS Portfolios
o Property Financials
o Servicing Platforms
o Investor Reports
o Legal and Asset Documents
• Design data pipelines and AI-ready datasets.
• Create dashboards and actionable business insights using modern analytics tools.
Product & Technology Delivery
• Collaborate with engineering and architecture teams to deploy scalable solutions.
• Drive end-to-end implementation from ideation through production deployment.
• Monitor adoption, business value realization, and continuous optimization.
• Ensure compliance with data governance and security standards.
Innovation & Thought Leadership
• Stay current on emerging AI technologies, frameworks, and industry trends.
• Recommend innovative ways to improve efficiency, reduce operational costs, and enhance decision-making.
• Champion AI-first thinking across business processes.
Salary Range: $130,000 -$140,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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