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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

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