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Duration 7 hours
Course Outline
The Forward Deployed Model
- Historical origins of the role at Palantir
- Current deployment practices at OpenAI, Anthropic, and major service firms
- Distinguishing forward deployed engineering from consulting and solutions architecture
- Key performance metrics for forward deployed engineers
The Deployment Gap
- Factors causing pilots to stagnate before reaching production
- Balancing technical capability with organisational readiness
- Indicators of deployments that lack scalability
- The financial and operational costs of stalled pilots
The Engagement Lifecycle
- Phases: Discovery, Prototyping, Validation, Go-Live, and Scaling
- Establishing clear entry and exit criteria for each stage
- Aligning on cadence and decision-making authority with the client
- Documenting assumptions and unresolved questions
Operating Within the Client Organisation
- Stakeholder mapping spanning from end-users to executive leadership
- Navigating access requests, security reviews, and environmental constraints
- Fostering trust among technical and business teams
- Managing expectations during scope adjustments
Outcomes, Handover, and Scaling
- Defining success based on 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 in delivering software, data, or integration solutions
- Practical familiarity with cloud platforms and API-driven integration techniques
- Exposure to client-facing technical responsibilities
Target Audience
- Engineers advancing into forward deployed engineering positions
- Solutions architects and technical consultants
- Delivery leads and engineering managers developing embedded service practices
- Product engineers collaborating directly with enterprise clients