Forward Deployed Engineering
Most AI vendors demo in a sandbox. We ship into your production environment. Dynamisch's Forward Deployed Engineers work inside your systems to get AI and software initiatives from pilot to production.
What Is Forward Deployed Engineering
Forward Deployed Engineering places senior engineers directly inside a client's environment for the duration of an engagement, working with real data, real infrastructure, and real constraints rather than a controlled demo setup.
At Dynamisch, this means our engineers work through legacy databases, security review, enterprise authentication, and production access requirements as part of the engagement, not as blockers discovered after a pilot is declared successful.
The AI and software initiatives fail because nobody effectively tackles the unglamorous work that stands between a working prototype and a production system. That is the gap Forward Deployed Engineering exists to close.
The role draws on platform engineering, software engineering, and solutions architecture, combined into one person who can operate across all three rather than handing off between specialists.
How This Is Different
from Traditional Engineering Consulting
Traditional Consulting
01
Engagement Model
Gather requirements, build, handoff
02
Success Measure
Delivered pilot or prototype
03
Access
Limited to sandbox or staging
04
Ownership
Ends at delivery
Forward Deployed Engineering
01
Engagement Model
Embedded, iterative, in-environment
02
Success Measure
Deployed and adopted in production
03
Access
Works within live systems and constraints
04
Ownership
Continues through integration and adoption
Forward Deployed Engineering
01
Engagement Model
Embedded, iterative, in-environment
02
Success Measure
Deployed and adopted in production
03
Access
Works within live systems and constraints
04
Ownership
Continues through integration and adoption
Where We Apply This Model
Agentic AI and Code Modernization
Modernizing legacy codebases using agentic AI workflows, with engineers validating output against real system behavior rather than isolated test cases.
Complex API and MCP Tooling
Building and integrating tooling using Model Context Protocol and other complex API layers, where correctness depends on how systems actually behave in production.
Large-Scale Data Migration
Migrating workloads such as SAS to PySpark and Teradata to Databricks, using inventory-driven approaches built for systems with years of undocumented dependencies.
Production-Grade Agentic Systems
Designing and deploying agentic AI systems built to operate reliably inside enterprise environments, with the access controls and monitoring that production systems require.
How Dynamisch's Forward Deployed Engagement Works
Discover
We spend time inside the client's environment before writing code. We understand existing systems, access constraints, and where prior attempts failed.
Discover
We spend time inside the client's environment before writing code. We understand existing systems, access constraints, and where prior attempts failed.
Embed
Deliver
Stay Accountable
What an FDE Actually Does
Beyond the engagement structure, this is what the work of FDE looks like day to day.
Learn the business and identify the real problem before writing any code. Time spent here shapes everything that follows.
Built and Led by People Who Do This Work
Our Forward Deployed Engineering practice is led by Pritish Zade, VP of Technology, and Arpit Singh, Technical Lead. They lead the team of Dynamisch's internal FDEs, developing a team of engineers specifically for this kind of work. This is a staffed, ongoing practice, not a repositioning of existing services.
Pritish Zade
Vice President of Technology
Arpit Singh
Senior Technical Lead
Success Stories
AI-Assisted Learning Platform for Neurodiverse Children (Autism to ADHD)
Dynamisch engineered an adaptive learning platform designed specifically for children with Autism and ADHD. By combining behavioral science frameworks, gamified learning experiences, and personalized engagement models, the platform improves focus, encourages skill development, and enables caregivers to track learning progress through data-driven insights.
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Frequently Asked Questions about Forward Deployed Engineering
01
What is a Forward Deployed Engineer?
A Forward Deployed Engineer is a senior engineer who works directly inside a client's environment to build, integrate, and deliver software or AI systems into production, rather than delivering a proof of concept from a separate environment.
02
How is the FDE different from hiring a consultant or contractor?
A consultant typically delivers a defined output and exits. A Forward Deployed Engineer works embedded within the team and environment for the duration of the engagement, with success measured by what actually reaches production and gets adopted.
03
What kind of work does Dynamisch's FDE team handle?
Agentic AI implementation, code modernization, complex API and MCP tooling development, and large-scale data migrations, including SAS to PySpark and Teradata to Databricks.
04
How does an engagement start?
Engagements begin with a discovery phase inside the client's existing environment, followed by embedded development and incremental production deployment.