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Duration 7 hours
Course Outline
The Forward Deployed Model
- Origins of the role at Palantir.
- Implementation of forward deployed teams at OpenAI, Anthropic, and large service firms.
- Distinguishing the role from consulting and solutions architecture.
- Key performance indicators for forward deployed engineers.
The Deployment Gap
- Reasons why pilots often stall before reaching production.
- The distinction between technical capability and organizational readiness.
- Indicators of deployments that lack scalability.
- The financial and operational cost of stalled pilots.
The Engagement Lifecycle
- Phases: Discovery, Prototyping, Validation, Go-Live, and Scaling.
- Entry and exit criteria for each phase.
- Aligning cadence and decision rights with the client.
- Documenting assumptions and unresolved questions.
Operating Within the Client Organization
- Stakeholder mapping from end-users to executives.
- Navigating access requests, security reviews, and environment limitations.
- Building trust with both technical and business teams.
- Managing expectations when project scope evolves.
Outcomes, Handover, and Scale
- Defining success through the client’s own metrics.
- Transitioning ownership to internal engineering and platform teams.
- Converting repetitive tasks into reusable assets.
- Documenting failure patterns to inform future engagements.
Requirements
- Professional experience in delivering software, data, or integration solutions.
- Practical knowledge of cloud platforms and API-based integrations.
- Exposure to technical work involving direct client interaction.
Target Audience
- Engineers stepping into forward deployed engineering roles.
- Solutions architects and technical consultants.
- Delivery leads and engineering managers developing embedded engineering practices.
- Product engineers collaborating directly with enterprise clients.
