Chief AI Architect Profile - Part 1

Foundations - Use Cases - Platforms - Contributions - Blogs - Solution Architecture - Relationships

Author

Dr. Aruna Kishore Veleti
August 18, 2026

Individuals aspiring to become Chief AI Architect, I think, should have following skills, capabilities, experiences and contributions

  1. Hands on Foundational AI

    1. AI & Workflow Frameworks (LangChain, LangGraph, n8n, AWS Bedrock Core, crew.ai)

    2. Ability to evaluate LLMs based on use cases

      1. Classification, Reasoning, Deep Thinking, Research, Code Generatrion

    3. Understanding Chunking Strategies, Vector Databases

    4. Importance of AIOps including Observability, Traces, Cost Management

  2. Agentic AI Platforms

    1. AWS Bedrock and its related stack

    2. Azure

    3. GCP

  3. Industrial Use Cases

    1. FOREX, Healthcare, Consumer Lending, Merchant Banking, Digital Sales Services

  4. New Product Design

    1. AgenticOS product thinking

    2. Research few GitHub Repos that are popular as AI products

  5. Open Source Contributions

    1. GitHub Repos

    2. Microsoft OpenSource libraries, Kaggle Datasets, Hugging Face

  6. Contributions

    1. Newsletter, Blog, Research Paper, Whitepapers

  7. Customer Relationships

  8. Technical Consultancy

    1. Startups

    2. Enterprises

  9. Solution Architecture & Design

  10. Software Development & Engineering

    1. Cloud

    2. Big Data

    3. Application Development