> Markdown version of [/jobs/ext/175974-agentic-ai-architect-gcp](https://www.wearedevelopers.com/jobs/ext/175974-agentic-ai-architect-gcp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Agentic AI Architect (GCP)

- **Company:** Tata Consultancy Services Limited
- **Location:** Atlanta, GA, United States
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, BigQuery, Cloud Computing, Data Cleansing, Information Engineering, Data Retrieval, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Systems Architecture, Google Cloud, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Generative AI, Scikit Learn, Google Cloud Functions, Virtual Agents, Software Version Control, Automation Anywhere, Programming Languages, Data Generation
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e8f8fce9959f8727

## About the Role

Do you have experience in Version control systems?, * Programming Languages: Proficiency in Python is essential.

 * Agentic AI: Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 * Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML.
 * Generative AI: Hands-on experience with generative AI models, RAG (Retrieval Augmented Generation) architecture, and Natural Language Processing (NLP).
 * Cloud Platforms: Familiarity with Google Cloud Platform (GCP).
 * Data Engineering: Proficiency in data preprocessing and feature engineering.
 * Version Control: Experience with GitHub for version control.
 * Data Science Practices: Skills in building models, testing/validation, and deployment.
 * Collaboration: Experience working in an Agile framework.
 * RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search. Google Cloud Platform

## Description

* Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems.
 * Architect and implement core systems for agent-based AI workflows.
 * Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems.
 * Develop and optimize ML models, pipelines, and orchestration logic.
 * Drive technical strategy, tooling, and infrastructure decisions. · Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.).


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [The Best AI Chatbots: ChatGPT and Other Alternatives](https://www.wearedevelopers.com/magazine/236-the-best-ai-chatbots-chatgpt-and-other-alternatives)