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SyrvAI - AI to Serve
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Executive TrackDeveloper TrackFull-day (8 hours)

Building Your AI Team

Configure, Hire, and Manage AI Teams

Based on Jarrod's experience building AI organizations at Fortune 500 companies, this workshop addresses the complete lifecycle of AI team building—from organizational design to performance measurement.

What You'll Learn

AI team archetypes: centralized vs federated vs hybrid
Role definitions and hiring frameworks
Interview strategies and compensation benchmarks
MLOps and development infrastructure
Measuring AI team success and business impact

Full Curriculum

Detailed breakdown of workshop modules and timing

1

AI Team Archetypes

60 min

Compare centralized, federated, and hybrid team models. Learn when each structure is most effective.

2

Role Definitions

75 min

Deep dive into data scientists, ML engineers, AI product managers, and ethics officers. Understand the skills matrix for each role.

3

Hiring Strategy

75 min

What to look for in AI talent, effective interview frameworks, and current compensation benchmarks.

4

Tooling & Infrastructure

60 min

Development environments, MLOps platforms, governance tools, and build vs buy decisions.

5

Team Workflows

60 min

Agile for AI projects, experiment tracking, model lifecycle management, and cross-functional collaboration.

6

Success Metrics

60 min

Measuring AI team performance and business impact. Build dashboards that matter.

Workshop Outcomes

What you'll walk away with

AI team structure recommendation
Job descriptions for key AI roles
Interview rubrics and hiring criteria
MLOps tool evaluation framework
AI team success metrics dashboard template

Who This Workshop Is For

CTOs, VPs of Engineering, HR leaders, AI team leads

Interested in Building Your AI Team?

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