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Forward Deployed Engineers are the bridge between AI ambition and production reality. OB360’s FDE stream gives clients access to engineers who can work close to business users, product owners, architects, and delivery teams to build and operationalize AI inside the client environment.
Our FDE pool is designed for organizations that need more than advisory support. These engineers can help convert use cases into working solutions, integrate with enterprise systems, set up secure deployment pipelines, and transfer knowledge to internal teams.
How OB360 FDE pods work
step 01
Understand the operating context
We map your users, workflows, systems, data sources, security boundaries, and deployment constraints.
step 02
Build with your team
FDEs co-develop AI workflows, copilots, RAG pipelines, integrations, and automation capabilities with your engineers.
step 03
Deploy and stabilize
We support production rollout, observability, governance, documentation, and operational handover.
Typical FDE capabilities
OB360 FDEs are suitable for AI-native transformation programs, product engineering teams, pilot-to-production acceleration, and enterprise integration initiatives.
- Agentic AI and multi-agent workflow implementation
- RAG, vector search, document intelligence, and enterprise knowledge systems
- API integration, data connectors, workflow automation, and cloud-native deployment
- Azure, AWS, GCP, containers, CI/CD, observability, and secure engineering practices
- Client-facing requirement discovery, solution design, demo support, and technical handover
- Flexible engagement through dedicated engineers, pods, or supervised augmentation
