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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 major services firms.
- Distinguishing the role from traditional consulting and solutions architecture.
- Key metrics and performance indicators for forward deployed engineers.
Closing the Deployment Gap
- Reasons why pilots often stall before reaching production.
- Balancing technical capability with organisational readiness.
- Identifying signs that a deployment lacks scalability.
- The business cost of stalled pilots.
The Engagement Lifecycle
- Stages: Discovery, prototyping, validation, go-live, and scaling.
- Entry and exit criteria for each phase.
- Establishing cadence and decision rights with clients.
- Documenting assumptions and addressing open questions.
Operating Within the Client Organisation
- Mapping stakeholders from end-users to executive leadership.
- Navigating access requests, security reviews, and environmental constraints.
- Building trust with both technical and business teams.
- Managing expectations during scope changes.
Outcomes, Handover, and Scaling
- Defining success using the client’s specific metrics.
- Transitioning work to internal engineering and platform teams.
- Converting repetitive tasks into reusable assets.
- Documenting failure patterns to inform future engagements.
Requirements
- Professional experience delivering software, data, or integration projects.
- Practical knowledge of cloud platforms and API-based integrations.
- Prior exposure to customer-facing technical work.
Target Audience
- Engineers preparing for forward deployed engineering roles.
- Solutions architects and technical consultants.
- Delivery leads and engineering managers developing embedded practices.
- Product engineers working directly with enterprise clients.
