Chief AI Architect Key Job Functions

Chief AI Architect of any organization should have following key job functions:

Primary Focus:

1. Integrate AI Models

2. Accelerate AI Development

3. Monetize AI Investments

4. Levelling Up

5. Set the Direction

6. Recruit The Team

7. Create Command Center

Expected Skills:

1. Managed Distributed Systems - scalable, resilient, high-availability, cost effective

2. Defining shape of future AI Applications

3. Enabling Emerging Tech at Enterprise Scale

4. Model Risk Management

5. MLOps / AIOps Tools & Frameworks

6. PyTorch, Tensorflow design and architecture

7. AI Frameworks / LLMs

What is “Integrate AI Models” Focus mean?

1. Develop Enterprise AI Strategy

2. Create Module AI Architecture

3. Evaluate and Finalize Target Models for Business Needs and Technical Needs

What is “Accelerate AI Development” means?

1. Platform Engineering Model

2. Create Technical Architectural Components using cloud provider native services

   1. AWS Bedrock, AWS OpenSearch etc

3. CI/CD for models

4. Token Maximization

5. Observability, Tracing, Model Routing, PII Detection

6. Semantic Search, Knowledge Banks, GraphDB

What is “Monetize AI Investments” means?

1. AI RoI Framework

2. Data Product Thinking

What is “Levelling Up” Means?

1. Run the Business (RTB) understanding

   1. Understand systems use and their limitations

   2. Identify Solutions

   3. Implement and Deploy

What is “Set the Direction” means?

1. 3 to 5 core values

2. Quarterly Plan

3. Annual Plan

What is “Recruit the Team” means?

1. Map your system to required skills

2. Document your processes to identify required subject matter expertise team

3. Hire based on systems and processes

What is “Create Command Center” means?

1. Company Priorities - Product First

2. Recruit & Build Teams

3. Lock Operating Rhytms

4. Train Teams

5. Marketing Alignment to priorities and Operating Rhythms

6. Revenue Consistency