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Duration 7 hours
Course Outline
The Forward Deployed Model
- The role's origins at Palantir.
- Forward deployed teams at OpenAI, Anthropic, and service firms.
- Differences from consulting and solutions architecture.
- Key performance indicators for forward deployed engineers.
The Deployment Gap
- Reasons pilots often stall before reaching production.
- Assessing capability versus organizational readiness.
- Indicators of deployments unlikely to scale.
- The business cost of stalled pilots.
The Engagement Lifecycle
- Phases: Discover, Prototype, Validate, Go Live, Scale.
- Entry and exit criteria for each stage.
- Establishing cadence and decision rights with clients.
- Documenting assumptions and unresolved questions.
Operating Inside the Customer
- Stakeholder mapping from end-users to executives.
- Handling access requests, security reviews, and environmental constraints.
- Building trust with technical and business teams.
- Managing expectations during scope changes.
Outcomes, Handover, and Scale
- Defining success using the client’s own metrics.
- Handing over to internal engineering and platform teams.
- Converting repetitive tasks into reusable assets.
- Documenting failure patterns for future engagements.
Requirements
- Professional experience in delivering software, data, or integration solutions.
- Practical familiarity with cloud platforms and API-based integrations.
- Some background in client-facing technical activities.
Audience
- Engineers transitioning into forward deployed engineering roles.
- Solutions architects and technical consultants.
- Delivery leads and engineering managers establishing embedded practices.
- Product engineers collaborating directly with enterprise clients.
