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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 service firms
- Differentiating this role from consulting and solutions architecture
- Key metrics used to evaluate 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 impact of stalled pilot projects
The Engagement Lifecycle
- Phases: Discovery, Prototyping, Validation, Go-Live, and Scaling
- Entry and exit criteria for each stage
- Establishing cadence and decision rights with the customer
- Documenting assumptions and unresolved questions
Operating Inside the Customer
- Mapping stakeholders from end-users to executives
- Navigating access requests, security reviews, and environment constraints
- Building trust with both technical and business teams
- Managing expectations when project scope changes
Outcomes, Handover, and Scale
- Defining success using the customer’s specific metrics
- Handing over projects to internal engineering and platform teams
- Converting recurring tasks into reusable assets
- Documenting failure patterns to improve future engagements
Requirements
- Experience delivering software, data, or integration projects in a professional context
- Practical familiarity with cloud platforms and API-based integrations
- Prior exposure to customer-facing technical responsibilities
Target Audience
- Engineers transitioning into forward deployed engineering roles
- Solutions architects and technical consultants
- Delivery leads and engineering managers building embedded practices
- Product engineers working directly with enterprise clients